U.S. patent application number 13/866152 was filed with the patent office on 2013-09-12 for system and method for automatically and graphically associating programmatically-generated media item recommendations related to a user's socially recommended media items.
This patent application is currently assigned to Napo Enterprises, LLC. The applicant listed for this patent is NAPO ENTERPRISES, LLC. Invention is credited to Scott Curtis.
Application Number | 20130239008 13/866152 |
Document ID | / |
Family ID | 39828038 |
Filed Date | 2013-09-12 |
United States Patent
Application |
20130239008 |
Kind Code |
A1 |
Curtis; Scott |
September 12, 2013 |
System And Method For Automatically And Graphically Associating
Programmatically-Generated Media Item Recommendations Related To A
User's Socially Recommended Media Items
Abstract
A system and method for automatically, programmatically
generating media item recommendations on a graphical user interface
(GUI) based on a friend media item recommendation selected by a
user. For example, a social media item recommendation list
comprising one or more social media item recommendations is
received. Further, a programmatically-generated media item
recommendation list comprising one or more
programmatically-generated media item recommendations is received.
The social media item recommendation list is displayed in a first
area on the user interface. The programmatically-generated media
item recommendation list is displayed in a second area on the user
interface different from the first area.
Inventors: |
Curtis; Scott; (Durham,
NC) |
|
Applicant: |
Name |
City |
State |
Country |
Type |
NAPO ENTERPRISES, LLC |
Wilmington |
DE |
US |
|
|
Assignee: |
Napo Enterprises, LLC
Wilmington
DE
|
Family ID: |
39828038 |
Appl. No.: |
13/866152 |
Filed: |
April 19, 2013 |
Related U.S. Patent Documents
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Application
Number |
Filing Date |
Patent Number |
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13076880 |
Mar 31, 2011 |
8434024 |
|
|
13866152 |
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11696849 |
Apr 5, 2007 |
8112720 |
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13076880 |
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Current U.S.
Class: |
715/738 |
Current CPC
Class: |
G06Q 10/00 20130101;
G06F 3/0482 20130101 |
Class at
Publication: |
715/738 |
International
Class: |
G06F 3/0482 20060101
G06F003/0482 |
Claims
1. A method for providing social and programmatically-generated
media item recommendations to a user on a user interface,
comprising the steps of: receiving a social media item
recommendation list comprising one or more social media item
recommendations; receiving a programmatically-generated media item
recommendation list comprising one or more
programmatically-generated media item recommendations; displaying
the social media item recommendation list in a first area on the
user interface; and displaying the programmatically-generated media
item recommendation list in a second area on the user interface
different from the first area.
2. The method of claim 1, wherein the first area is a first axis,
and the second area is a second axis.
3. The method of claim 2, wherein the social media item
recommendation list in the first axis intersects the focus area on
the user interface.
4. The method of claim 2, wherein the programmatically-generated
media item recommendation list in the second axis intersects the
focus area on the user interface.
5. The method of claim 1, wherein the first area is a first
adjacent area to the focus area, and the second area is a second
adjacent area to the focus area.
6. The method of claim 1, wherein displaying the
programmatically-generated media item recommendation list further
comprises displaying an icon list on the user interface graphically
representing the one or more programmatically-generated media item
recommendations.
7. The method of claim 1, wherein displaying the social media item
recommendation list further comprises displaying an icon list on
the user interface graphically representing the one or more social
media item recommendations.
8. The method of claim 1, further comprising generating the
programmatically-generated media item recommendation list comprises
determining the relation of a set of media item recommendations to
a user-selected media item recommendation.
9. The method of claim 8, wherein the relation is determined by
determining a relation score between the set of media item
recommendations and the user-selected media item
recommendation.
10. The method of claim 8, wherein the most closely related media
item recommendations, among the set of media item recommendations,
to the user-selected media item recommendation are displayed
closest to the user-selected media item recommendation on the user
interface in the programmatically-generated media item
recommendation list.
11. The method of claim 1, further comprising determining the
relation of the user's social media item recommendations to a
user-selected media item recommendation.
12. The method of claim 1, further comprising shifting at least one
of the programmatically-generated media item recommendation list
and the social media item recommendation list in response to
receiving a user selection to traverse at least one of the
programmatically-generated media item recommendation list and the
social media item recommendation list on the user interface on the
user interface.
13. A system providing a media application for providing social and
programmatically-generated media item recommendations to a user on
a user interface, comprising: a system executing a media
application; wherein the media application is adapted to: receiving
a social media item recommendation list comprising one or more
social media item recommendations; receiving a
programmatically-generated media item recommendation list
comprising one or more programmatically-generated media item
recommendations; displaying the social media item recommendation
list in a first area on the user interface; and displaying the
programmatically-generated media item recommendation list in a
second area on the user interface different from the first
area.
14. The system of claim 13, wherein the first area is a first axis,
and the second area is a second axis.
15. The system of claim 13, wherein the media application is
further adapted to determine the relation of a set of media item
recommendations to a user-selected media item recommendation.
16. The system of claim 15, wherein the media application is
further adapted to determine the relation by determining a relation
score between the set of media item recommendations and the
user-selected media item recommendation.
17. The system of claim 16, wherein the media application is
further adapted to display the most closely related media item
recommendations, among the set of media item recommendations, to
the user-selected media item recommendation on the user interface
in the programmatically-generated media item recommendation
list.
18. A non-transitory computer readable medium comprising program
instructions for providing social and programmatically-generated
media item recommendations to a user on a user interface, the
program instructions for: receiving a social media item
recommendation list comprising one or more social media item
recommendations; receiving a programmatically-generated media item
recommendation list comprising one or more
programmatically-generated media item recommendations; displaying
the social media item recommendation list in a first area on the
user interface; and displaying the programmatically-generated media
item recommendation list in a second area on the user interface
different from the first area.
Description
CROSS-REFERENCE TO RELATED APPLICATIONS
[0001] This application is a Continuation application of co-pending
U.S. patent application Ser. No. 13/076,880 filed Mar. 31, 2011,
titled "System And Method For Automatically And Graphically
Associating Programmatically-Generated Media Item Recommendations
Related To A User's Socially Recommended Media Items," which is a
Continuation application of U.S. patent application Ser. No.
11/696,849 filed Apr. 5, 2007, titled "System And Method For
Automatically And Graphically Associating
Programmatically-Generated Media Item Recommendations Related To A
User's Socially Recommended Media Items," (now U.S. Pat. No.
8,112,720, issued Feb. 7, 2012), which is commonly owned with this
application and is herein incorporated by reference.
FIELD OF THE INVENTION
[0002] The present invention relates to a system and method for
automatically and graphically associating
programmatically-generated media item recommendations on a user
interface based on media items selected from a user's social or
"friend" media item recommendation list.
BACKGROUND OF THE INVENTION
[0003] In recent years, there has been an enormous increase in the
amount of digital media available online. Services, such as Apple's
iTunes.RTM. for example, enable users to legally purchase and
download music. Other services, such as Yahoo!.RTM. Music Unlimited
and RealNetwork's Rhapsody.RTM. for example, provide access to
millions of songs for a monthly subscription fee. YouTube.RTM.
provides users access to video media. As a result, media items have
become much more accessible to consumers worldwide. However, the
increased accessibility of media has only heightened a
long-standing problem for the media industry, which is namely the
issue of linking users with media that matches their
preferences.
[0004] Many companies, technologies, and approaches have emerged to
address this issue of media recommendation. Media item
recommendations may be provided to users as suggestions based on
information about the user and/or their media likes or dislikes,
also called preferences. In this manner, the user is more likely to
respond, such as by purchase, to media item recommendations. Media
item recommendations may be provided either by service provider
companies, or "socially" by the user's online "friends" (typically
identified by user id).
[0005] In the case of socially or friend recommended media items,
the user typically receives the recommended media items through a
client application executing on the user's personal computer or
other networked device. The networked device communicates with
other networked devices to receive the friend recommendations. When
the friend recommendations are received, the user can display the
recommendations on a graphical user interface (GUI). The friend
recommendations are typically presented to the user in the form of
a media item table having a plurality of columns, wherein title or
other identifying information about the user's media items is
graphically presented. The media item table may contain all of the
user's media collection, including recommended items and
non-recommended media items. Recommended media items may be
signified by the user id or name of "friend" or user that
recommended the media item to the user.
[0006] It may also be desirable to provide company recommended
media items to a user in addition to friend recommendations.
Company media item recommendations are typically programmatically
provided, meaning they are provided based on a programmed
methodology, algorithm, or other scheme. For example, company
provided media item recommendations may be provided based on a
holistic classification of assigning ratings to attributes of the
user's media collection. Alternatively, company media item
recommendations may be based on a communal approach, wherein
recommendations are based on the collective wisdom of a group of
users with similar tastes by profiling the habits of a particular
user and then searching similar profiles of other users. In either
case, company or programmatically-generated media item
recommendations allow the user to be presented with additional
recommendations for a greater variety of media options relevant to
the user. Companies also benefit in that they may obtain additional
opportunities for revenues generated if the user desires to
purchase a company recommended media item.
[0007] The user's client application typically intermingles friend
and programmatically-generated media item recommendations into the
user's media collection. The user may desire to separately
distinguish friend media item recommendations from
programmatically-generated media item recommendations for ease in
browsing and/or selection. However, if friend media item
recommendations are isolated, the user may lose the benefit of
being presented and browsing highly related
programmatically-generated media item recommendations.
[0008] A tradeoff may exist. Either the user is presented all media
item recommendations, both friend and programmatically-generated,
for browsing and/or selection. Or, the user chooses to only browse
one set of media item recommendations thereby losing visual access
to the other. The present invention addresses this tradeoff by
allowing the user to select a media item from among a list of
friend media item recommendations while at the same time
automatically and associatively being presented a separate list of
related, programmatically-generated media item recommendations to
the selected media item. In this manner, the user can browse and
select friend media item recommendations while at the same time
being presented with automatically updated,
programmatically-generated related media item recommendations.
SUMMARY OF THE INVENTION
[0009] The present invention is a system and method for
automatically and programmatically generating media item
recommendations for visual display on a graphical user interface
(GUI) based on a user-selected friend media item recommendation.
The GUI allows a user to browse through a stream or list of friend
media item recommendations, with the most recent media selection by
the user being placed in a highlighted focus area on the GUI. The
friend media item recommendation list is visually displayed
adjacent the focus area by order of relation or likeness to the
selected media item recommendation in the focus area on the GUI. A
separate stream or list of programmatically-generated media item
recommendations is automatically generated and visually displayed
adjacent the focus area also by order of relation or likeness to
the selected media item recommendation in the focus area on the
GUI. In this manner, the user can browse friend media item
recommendations, while at the same time being automatically
presented with updated and programmatically-generated media item
recommendations most closely related to the selected media item
recommendation in the focus area of the GUI. This allows the user
to easily and visually identify, browse, and/or select the most
related or closest in likeness, but alternative media item
selections to the selected media item recommendation in the focus
area of the GUI at anytime.
[0010] In a main exemplary embodiment of the present invention,
friend media item recommendations are displayed in a series of
media item icons in a friend media item recommendation list
visually displayed in a horizontal axis on each side of the
selected media item in the focus area of the GUI. The friend media
item recommendations most closely related by likeness to the
selected media item are displayed in icons immediately proximate on
both sides of the focus area. The less closely related friend media
item recommendations are displayed in icons farther away and in
descending relational order from the selected media item in the
focus area in the horizontal axis. In this manner, the user may
traverse the icons in the friend media item recommendation list in
order of relevance to the selected media item in the focus area in
a first axis.
[0011] As the user horizontally traverses the friend media item
recommendation list and selects icons representing different media
item recommendations to be displayed in the focus area, a
programmatically-generated media item recommendation list is
automatically generated. The programmatically-generated media item
recommendation list is a stream of icons visually located and
displayed in a vertical axis intersecting the focus area on the
GUI. Like the friend media item recommendation list, the most
closely related media items by likeness to the user-selected media
item, among the programmatically-generated media item
recommendation list, are displayed in icons immediately proximate
on the top and bottom sides of the focus area. The less closely
related programmatically-generated media item recommendations are
displayed in icons farther away in descending relational order from
the highlighted area in the vertical axis.
[0012] In this manner, the user is automatically and visually
provided with additional programmatically-generated media item
recommendations related to friend media item recommendations
selected for the focus area in an opposing axes. The user can, at
any time, easily switch from one axis to the other, to traverse
between the friend media item recommendation list and the
programmatically-generated media item recommendation list, wherein
each traverse provides the next most relevant media item
recommendation in its list to the currently selected media item in
the focus area.
[0013] The user can also simply place or roll their mouse over a
particular media item of interest in either list on the GUI.
Additional information about the media item is exposed in a
separate window on the GUI as a result to allow the user to easily
consider the potential selection. If the user clicks the mouse when
the cursor is on top of a media item selection not in the focus
area, the media item selected will be moved to the focus area. The
other media items in the lists are shifted. Optionally, the friend
recommendation media item list may be reordered based on a
determined closest or likeness relationship of the selected
programmatically-generated media item to the media items among the
friend media item recommendations.
[0014] Any relational model, including a relational or likeness
scoring model, may be employed by the present invention to
determine the most closely related or most alike friend media item
recommendations and the programmatically-generated media item
recommendations to the selected media item recommendation in the
focus area. A model may be used to rank the lists by likeness,
where the media item recommendations located immediately adjacent
the focus area were determined to be most like the selected media
item recommendation. Likeness or lack thereof can also be measured
in terms of distance. The friend media item recommendations may be
relationally determined or scored to determine their relational
order to the selected media item recommendation when displayed on
the GUI in a friend media item recommendation list. The relational
scoring may also be based in part on the user's preferences, which
may be configured by the user using a client application to provide
preferences for weightings for attributes that go to determining
relation or likeness. This client application may also control
displaying and updating the recommendation lists on the GUI.
[0015] Those skilled in the art will appreciate the scope of the
present invention and realize additional aspects thereof after
reading the following detailed description of the preferred
embodiments in association with the accompanying drawing
figures.
BRIEF DESCRIPTION OF THE DRAWING FIGURES
[0016] The accompanying drawing figures incorporated in and forming
a part of this specification illustrate several aspects of the
invention, and together with the description serve to explain the
principles of the invention.
[0017] FIG. 1 illustrates a graphical user interface (GUI)
providing a user selected media item in a focus area and providing
related friend and programmatically-generated media item
recommendation lists in different axes intersecting with the focus
area;
[0018] FIG. 2 is a flow chart illustrating the basic operation of
one embodiment of the present invention for providing and
displaying friend and programmatically-generated media item
recommendations in opposing axes on a GUI, and automatically
updating the selected media item and the associated, and related
according to likeness, recommendations displayed on the GUI when a
new media item selection is made by the user;
[0019] FIG. 3 is a chart illustrating one embodiment of how a
likeness distance rating or score may be determined to control the
relational order of friend and programmatically-generated media
item recommendation lists displayed on the GUI;
[0020] FIG. 4 illustrates an example of a media client application
executing on a user's device for displaying a user's media
collection including stored media item recommendations that may be
used to provide the recommendation lists on the GUI;
[0021] FIGS. 5A and 5B are flowcharts illustrating a more detailed
operation of one embodiment of the present invention for providing
and displaying a selected media item recommendation and related
friend and programmatically-generated media item recommendations in
opposing axes on a GUI, and automatically updating the selected
media item and the associated, and related according to likeness,
recommendation list displayed on the user interface when a new
media item selection is made by a user;
[0022] FIG. 6 illustrates a user-server system for providing and
receiving friend media item recommendations, for determining and
receiving programmatically-generated media item recommendations,
and for displaying related recommendations on a GUI to a user;
[0023] FIG. 7 is an exemplary communication flow diagram between
user devices and a server illustrated in FIG. 6 for receiving
friend media item recommendations to determine and automatically
provide programmatically-generated media item recommendations for
displaying to a user on a GUI in accordance with the present
invention;
[0024] FIG. 8 is a flowchart illustrating one embodiment of a
relational or distance scoring model, wherein a user's preferences
are used to influence attributes used in the relational scoring
model; and
[0025] FIG. 9 illustrates an exemplary GUI for assigning weights to
various categories of media items as part of configuring the user
preferences to influence the relational scoring model.
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
[0026] The embodiments set forth below represent the necessary
information to enable those skilled in the art to practice the
invention and illustrate the best mode of practicing the invention.
Upon reading the following description in light of the accompanying
drawing figures, those skilled in the art will understand the
concepts of the invention and will recognize applications of these
concepts not particularly addressed herein. It should be understood
that these concepts and applications fall within the scope of the
disclosure and the accompanying claims.
[0027] The present invention is a system and method for
automatically and programmatically generating media item
recommendations for visual display on a graphical user interface
(GUI) based on a user-selected friend media item recommendation.
The GUI allows a user to browse through a stream or list of friend
media item recommendations, with the most recent media selection by
the user being placed in a highlighted focus area on the GUI. The
friend media item recommendation list is visually displayed
adjacent the focus area by order of relation or likeness to the
selected media item recommendation in the focus area on the GUI. A
separate stream or list of programmatically-generated media item
recommendations is automatically generated and visually displayed
adjacent the focus area also by order of relation or likeness to
the selected media item recommendation in the focus area on the
GUI. In this manner, the user can browse friend media item
recommendations, while at the same time being automatically
presented with updated and programmatically-generated media item
recommendations most closely related to the selected media item
recommendation in the focus area of the GUI. This allows the user
to easily and visually identify, browse, and/or select the most
related or closest in likeness, but alternative media item
selections to the selected media item recommendation in the focus
area of the GUI at anytime.
[0028] In a main exemplary embodiment of the present invention,
friend media item recommendations are displayed in a series of
media item icons in a friend media item recommendation list
visually displayed in a horizontal axis on each side of the
selected media item in the focus area of the GUI. The friend media
item recommendations most closely related by likeness to the
selected media item are displayed in icons immediately proximate on
both sides of the focus area. The less closely related friend media
item recommendations are displayed in icons farther away and in
descending relational order from the selected media item in the
focus area in the horizontal axis. In this manner, the user may
traverse the icons in the friend media item recommendation list in
order of relevance to the selected media item in the focus area in
a first axis.
[0029] As the user horizontally traverses the friend media item
recommendation list and selects icons representing different media
item recommendations to be displayed in the focus area, a
programmatically-generated media item recommendation list is
automatically generated. The programmatically-generated media item
recommendation list is a stream of icons visually located and
displayed in a vertical axis intersecting the focus area on the
GUI. Like the friend media item recommendation list, the most
closely related media items by likeness to the user-selected media
item, among the programmatically-generated media item
recommendation list, are displayed in icons immediately proximate
on the top and bottom sides of the focus area. The less closely
related programmatically-generated media item recommendations are
displayed in icons farther away in descending relational order from
the highlighted area in the vertical axis.
[0030] In this manner, the user is automatically and visually
provided with additional programmatically-generated media item
recommendations related to friend media item recommendations
selected for the focus area in an opposing axes. The user can, at
any time, easily switch from one axis to the other, to traverse
between the friend media item recommendation list and the
programmatically-generated media item recommendation list, wherein
each traverse provides the next most relevant media item
recommendation in its list to the currently selected media item in
the focus area.
[0031] An example of a GUI for displaying friend and
programmatically-generated media item recommendation lists
according to the present invention is illustrated in FIG. 1.
Reference to the flowchart illustrated in FIG. 2 is also made where
relevant to the description of the GUI illustrated in FIG. 1. As
illustrated in FIG. 1, the GUI may be comprised of a media item
recommendation window or screen 10 that contains several
components. For instance, the window 10 may contain a banner area
12 at the top of the window 10 for displaying information about the
application, such as a program code name 14. The program code name
14 may be user configurable. A menu bar 16 may provide one or more
user selectable menus 18, 20, 22, 24 provided to allow the user to
select different display options in the window 10, and/or navigate
between different screens within the window 10 for providing media
item related functions. FIG. 1 illustrates a "Nodes" menu 18 being
selected, which is the display type displayed in the window 10 in
FIG. 1. The "Nodes" menu 18 is selected by the user in the
illustrated example for displaying the friend and
programmatically-generated media item recommendations on the GUI in
accordance with the present invention.
[0032] The friend and programmatically-generated media item
recommendations are displayed in a main display area 26 in the
window 10. In the illustrated embodiment, the media items displayed
are audio or track media items. However, the media items are not
limited to audio media items, and may be video, audio/visual,
presentations, or any other type of media content. A currently
selected media item recommendation 27 by the user is displayed in a
focus area 28, which is centered in the window 10 in the exemplary
embodiment (step 66, FIG. 2). The currently selected media item
recommendation 27 remains in the focus area 28 until another media
item is selected by the user. In the illustrated example, the
selected media item recommendation 27 is a track from the album
"Colin Hay." More information about the selected media item
recommendation 27 is displayed in an information window 30 within
the main window 10. Media item information 32 is displayed about
the selected media item recommendation 27. For example, the album
name, the recommended track, the producer, the year released, and
the genre may be displayed along with a thumbnail 34 of the
selected media item recommendation 27.
[0033] Audio play controls may be provided in an audio play control
window 36 within the main window 10 to allow a user to control
playing of the selected media item recommendation 27 in the focus
area 28. The name of the media item recommendation track is
provided in a name field 38. The user that recommended the media
item recommendation track is located in a recommended user field
40. In this manner, the user can see the name of the "friend" that
recommended the selected media item recommendation 27. A volume
control 42, play controls 44 (typically consisting of forward,
reverse, and pause), and a progress bar 48 indicating where in the
total duration of the media item and where in the track play is
currently occurring, may also be provided as illustrated in FIG.
1.
[0034] In this exemplary embodiment, friend media item
recommendations are displayed in a friend media item recommendation
list 50, which is displayed adjacent to the focus area 28 in a
horizontal axis in the illustrated example (step 68, FIG. 2). The
friend media item recommendation list 50 is comprised of a
plurality of friend media item recommendations represented by icons
52. The entire friend media item recommendation list 50 may not be
fully illustrated due to window 10 size limitations. In the
illustrated example, the friend recommendation icons 52 are album
covers representing various albums. The actual friend media item
recommendations 52 are tracks on albums.
[0035] The user can traverse the friend media item recommendations
52 in several manners. If the user desires to traverse among the
friend media item recommendations 52, the user can select either a
left arrow 54 or a right arrow 56 located in the focus area 28. In
response, the friend media item recommendation list 50, represented
by the icons 52 in the illustrated example, is shifted right or
left, respectively, in the window 10. In this manner, the user is
able to visually traverse through the friend media item
recommendations 52 as desired. If the user shifts the friend media
item recommendation list 50 enough times in one direction,
previously unseen friend media item recommendation icons 52 that
could not originally fit within the list 50 in the window 10 will
appear, since the friend media item recommendation list 50 is
shifted linearly.
[0036] If the user desires to select a particular friend media item
recommendation 52 from the friend media item recommendation list
50, the user clicks their mouse while the cursor is located over
top the media item 52 (step 72, FIG. 2). The media item 52 selected
is immediately moved to the focus area 28 as providing the
currently selected media item recommendation 27. The friend media
item recommendation list 50 is also automatically shifted and/or
reordered in the horizontal axis so that the media items icons 52
are maintained in their relational order by most closely related or
closest in likeness to the selected media item recommendation 27 in
the focus area 28. The friend media item recommendations 52 are
displayed in relational order to each other and to the selected
media item recommendation 27 according to a scoring system or
model, as will be described later in this application. The most
closely related friend media items recommendations 52 to the
selected media item recommendation 27 are displayed immediately
proximate to the selected media item recommendation 27. The next
closely related media item recommendations 52 are displayed farther
away from the focus area 28 in descending order of relation. In
this manner, the user knows that each traversal through the friend
media item recommendations 52 in the list 50 is displaying the next
most related media item recommendation 52 to the selected media
item recommendation 27.
[0037] If the user simply wants to find out more information about
a particular friend media item recommendation 52 without browsing
or selecting the media item 52, the user can also hold their mouse
icon over the desired friend media item recommendation icon 52. In
response, a pop-up window (not shown) will appear in window 10 to
provide identifying information, such as in the example of song
media items, the album name, the recommended track name, the
producer, the year released, and the genre.
[0038] In the exemplary embodiment and in response to an initial or
user selected friend media item recommendation 52,
programmatically-generated media item recommendations are
automatically generated and displayed in the window 10 according to
a scored relation to the selected media item recommendation 27
displayed in the focus area 28 (step 70, FIG. 2). The
programmatically-generated media item recommendations are displayed
in a programmatically-generated media item recommendation list 58,
which is displayed adjacent the focus area 28 in a vertical
intersecting axis to the focus area 28 in the illustrated example.
In this manner, the user is automatically and visually provided
with additional programmatically-generated media item
recommendations 60 most closely related or closest in likeness to
the selected media item recommendation 27 according to a relational
model. In this embodiment, the programmatically-generated media
item recommendation list 58 is displayed in an opposing axis to the
friend media item recommendation list 50. The
programmatically-generated media item recommendation list 58
intersects the currently selected media item recommendation 27 as
does the friend media item recommendation list 50 such that both
lists 50, 58 can easily be traversed by a user in the window
10.
[0039] Similar to the friend media item recommendation list 50, the
programmatically-generated media item recommendation list 58 is
comprised of individual programmatically-generated media items 60,
shown in the form of icons, that are automatically generated and
associatively displayed according to a closest relation or closest
likeness to the selected media item recommendation 27 in the focus
area 28. A programmatically-generated media item recommendation 60
is simply a media item recommendation that was not received by a
"friend," but instead algorithmically generated according to a
relational or associative algorithm in order to provide other
relevant and closely related media item recommendations 60 to the
currently selected media item recommendation 27 for the user in
addition to friend media item recommendations 52.
[0040] An algorithm, program, or other scheme may be employed to
determine the most closely related or closest by likeness media
items to the currently selected media item recommendation 27 to
form the programmatically-generated media item recommendation list
58. One method of determining relation or likeness between a media
item recommendation 52, 60 and the currently selected media item
recommendation 28 is by determining the difference in the two in
terms of "distance." For example, a distance of nothing or `0`
means no difference, or the same media item. A higher distance
rating exhibits a greater degree of difference or less likeness
than a lower distance rating. The less distance between two media
items, the more closely related they are. Attributes are selected
that are representative of distance or likeness.
[0041] The media items are then compared for distance by comparing
the degree of differences between their respective attributes. FIG.
3 illustrates an example of a distance rating system.
[0042] As illustrated in FIG. 3, a number of attributes may be
selected to judge likeness or distance between two media items. In
the example of a song media item in particular, these attributes
for determining likeness may be, for example, the media item's:
[0043] Artist [0044] Release Year [0045] Genre [0046] Content
Distributor (label) [0047] Composer [0048] Encoding Time [0049]
Parental Rating [0050] Producer [0051] BeatsPerMinute [0052]
Conductor [0053] InitialKey [0054] Lyrics [0055] Mood [0056]
Publisher [0057] Recommender
[0058] The attributes may be aligned in a distance chart along both
of its axes. A distance rating would be filled into a table entry
based on the distance between the two attributes intersecting the
table entry. A lower rating indicates less distance, or greater
likeness, between two given attributes in a table entry between the
two song media items. So, determining the distance, and thus the
likeness, between two song media items could be a summation of the
distance between the individual attributes provided in the model,
or table in the example of FIG. 3. The actual attributes used in
the model could be any attributes that are designated as being
related to relation or likeness, and could include the attributes
listed above by example, or any other attributes desired.
[0059] With regard to the present invention, a distance rating like
that or similar to the one described above may be employed to
determine the order of media item recommendations 60 visually
displayed for the programmatically-generated media item
recommendations list 58, with the media item recommendations 60
having the lowest distance rating being located immediately
adjacent or proximate both sides of the currently selected media
item recommendation 27 in the focus area 28. The next closest in
distance or next less closely related programmatically-generated
media item recommendations 60 are displayed in icons 52 farther
away in descending relational or distance order from the selected
media item recommendation 27. In this manner, the user is
automatically and visually provided with additional,
programmatically-generated media item recommendations 60 most
closely related or closest in likeness to the selected media item
recommendation 27. The user can, at any time, easily switch from
one axis to the other to traverse between the friend media item
recommendation list 50 and the programmatically-generated media
item recommendation list 58, wherein each traversal provides the
next most relevant media item recommendation 52, 60 in its list 50,
58 to the currently selected media item recommendation 27 in the
focus area 28.
[0060] Similar to the friend media item recommendation list 50, the
user can traverse the programmatically-generated media item
recommendation list 58 in several manners. If the user desires to
traverse among the programmatically-generated media item
recommendations 60, the user can select either an up arrow 62 or a
down arrow 64 located in the focus area 28. In response, the
programmatically-generated media item recommendation list 58,
represented by the icons 60 in the illustrated example, is shifted
up or down, respectively, in the window 10. The user is able to
visually traverse through the programmatically-generated media item
recommendations 60 according to their desire. If the user shifts
the programmatically-generated media item recommendation list 58
enough times in one direction, previously unseen
programmatically-generated media item recommendation icons 60 that
could not originally fit within the list 58 in the window 10 will
appear, since the programmatically-generated media item
recommendation list 58 is shifted linearly.
[0061] Similar to the friend media item recommendation list 50, if
the user desires to select a particular media item 60 from the
programmatically-generated media item recommendation list 58, the
user clicks their mouse while the cursor is located over top the
desired media item 60 for selection (step 72, FIG. 2). A media item
60 selected is immediately moved to the focus area 28. The
programmatically-generated media item recommendation list 58 is
also automatically shifted and/or reordered in the vertical axis so
that the media items icons 60 are maintained in their proper
relational order with respect to each other and the selected media
item recommendation 27 in the focus area 28. The
programmatically-generated media item recommendations 60 are
displayed in relational order to each other according to a most
closely related scoring system or model, as will be described later
in this application. The most closely related
programmatically-generated media items recommendations 60 to the
selected media item recommendation 27 by likeness are displayed
immediately proximate to the selected media item recommendation 27,
with the next most closely relevant programmatically-generated
media item recommendations 60 displayed farther away in descending
order of relation. In this manner, the user knows that each
traversal through the programmatically-generated media item
recommendation list 58 is displaying the next most closely related
media item 60 to the currently selected media item recommendation
27.
[0062] In the preferred embodiment, the friend recommendation media
item list 50 is not reordered if the user selects a
programmatically-generated media item 60 to be displayed as the
selected media item recommendation 27 in the focus area 28. In an
alternative embodiment, the friend recommendation media item list
50 is reordered based on its likeness relation to the selected
programmatically-generated media item recommendation 27 in the
focus area 28.
[0063] In summary, FIG. 1 provides a GUI that visually displays a
selected media item recommendation 27 in a focus area 28. Friend
media item recommendations are provided in a series or list that
are displayed in a first adjacent area or axis in order or closest
relation or likeness to the selected media item recommendation 27.
Friend media item recommendations 52 most closely related to or
like the selected media item recommendation 27 in the focus area 28
are displayed in icons immediately proximate on both sides of the
focus area 28. Less closely related friend media item
recommendations 52 are displayed in icons farther away in
descending relational order from the focus area 28 in the
horizontal axis. In this manner, the user can traverse the icons 52
in the friend media item recommendation list 50 in order of scored
relationship to the selected media item recommendation 27 in the
focus area 28.
[0064] As the user horizontally traverses the friend media item
recommendation list 50 and selects icons 52 representing different
media item recommendations 27 to be displayed in the focus area 28,
the programmatically-generated media item recommendation list 58 is
automatically generated. The programmatically-generated media item
recommendation list 58 is a stream of icons 60 visually located and
displayed in a different, such as vertical, axis intersecting the
focus area 28 on the GUI. Like the friend media item recommendation
list 50, the closest related or most like media items, among the
programmatically-generated media item recommendation list 58, to
the selected media item recommendation 27 in the focus area 28 are
displayed in icons immediately proximate on both sides of the focus
area 28. The less closely related, programmatically-generated media
item recommendations 60 are displayed in icons farther away in
descending relational order from the focus area 28 in the vertical
axis.
[0065] In this manner, the user is automatically and visually
provided with additional programmatically-generated media item
recommendations 60 related to the friend media item recommendations
52 selected for the focus area 28 in an opposing axis. The user
can, at any time, easily switch from one axis to the other, to
traverse between the friend media item recommendation list 50 and
the programmatically-generated media item recommendation list 58,
wherein each traversal provides the next most closely related media
item recommendation in its list 50, 58 to the currently selected
media item recommendation 27 in the focus area 28. Note that the
media item recommendation lists 50, 58 can be visually displayed in
any area adjacent the focus area 28 and are not limited to being
displayed in axes, including horizontal and vertical axes
respective to the focus area 28.
[0066] FIG. 4 illustrates an example of an alternative media item
display to the "Nodes" display menu selection 18 in FIG. 1. This
view may be provided by a GUI to display media items in the user's
collection, including recommended media items, in a table format to
illustrate how media item recommendations are typically scored when
the user's collection is not displayed in the "Nodes" view. The
media item table in FIG. 4 illustrates how media item
recommendations may be displayed to the user prior to the novel
display system and method provided by the present invention.
[0067] As illustrated in FIG. 4, a main media collection page or
window 80 is provided. The current media item being played by the
user is shown in a currently playing box 82. In this example, the
media items are music or songs. The current media item being played
may be the initial selected media item recommendation 27 displayed
in the focus area if the user were to switch from the media
collection window 80 to the "Nodes" view, via "Nodes" menu 18, for
example. User controls 84 are provided to allow the user to control
an audio/video (A/V) player, such as reversing, forwarding, and
playing selected items. A volume slide control 86 is also provided
to allow the user to control the volume of an A/V player.
[0068] Media items that are either populated from a server, or from
the user's A/V collection, or both and sent to the client
application are listed in a media item table 88. The media item
table 88 is a music item table 88 and consists of numerous columns
that provide key information about the media items to the user. A
title column 90 provides the title of the music item. A time column
92 provides the length or duration of the music item when played.
An artist column 94 provides the artist of the music item. An album
column 96 provides the name of the album the song was included on.
A score column 98 provides a score in terms of importance to the
user according to their user preferences stored as a result of the
registration process and/or determined by a server based on the
owned media items in the user's A/V collection. This score
illustrated in score column 98 is typically different than the
relational score used to display media items in a "Nodes" view,
like illustrated in FIG. 1. For example, the track "Looking for
Jack" by Colin Hay, which was recommended by user "Jen365" has the
highest score of "92" based on the user's preferences fed into the
scoring model.
[0069] A genre column 100, a year column 102, a received time and
date column 104, and a played column 106 provide the genre type,
the year of release, the date and time of receipt, and the date and
time of the last play of the music item, respectively. A scroll bar
108 is available for the user to scroll up and down through their
song items.
[0070] A recommender column 110 contains a user id or name of the
person or friend that recommended the media item to the user. The
user can establish a list of friends that are able to provide
friend recommendations as disclosed in U.S. patent application Ser.
No. 11/484,130 entitled "P2P NETWORK FOR PROVIDING REAL TIME MEDIA
RECOMMENDATIONS," previously referenced above. The user is able to
navigate the media item table 88 by "point and click" to play
items, download items, and request content from a server and/or
other sources.
[0071] The flow charts in FIGS. 5A and 5B illustrate another
embodiment of the how the present invention may be performed. For
example, the process is illustrated starting from when a user
initially selects the "Nodes" menu 18, as in the example of FIG. 1,
to display the friend and programmatically-generated media item
recommendation lists 50, 58 in different axes. Further, an
exemplary process by which the friend and
programmatically-generated media item recommendation lists 50, 58
are updated when a user makes a new media item recommendation
selection to display as the currently selected media item
recommendation 27 in the focus area 28 is set forth.
[0072] As illustrated in FIG. 5A, the process starts (step 110),
and media items are displayed in the media item table 88 on the GUI
with recommendation scoring information calculated and provided
(step 112). The user is able to browser through the media items,
including the friend media item recommendations 52, in the media
item table 88 (step 114). The user then selects a specific friend
media item recommendation 52 of interest from the media item table
88 on the GUI (step 116). In order for the user to change the GUI
to the "Nodes" display format, an example of which is illustrated
in FIG. 1, the user may select a "Nodes" view or menu 18 (step
118). In this manner, the media item selected by the user from the
media item table 88 is displayed is the initial selected media item
recommendation 27 displayed in the focus area 28 (step 120) on the
GUI.
[0073] Next, the friend media item recommendations 52 having the
closest distance or likeness scores to the selected media item
recommendation 27 are displayed immediately proximate to the focus
area 28 (step 122). The next closest or closest in likeness or
distance friend media item recommendations 52 are displayed next,
and so on, until the friend media item recommendation list 50 is
displayed in the main window 10 (step 122). Other media item
recommendations 60 related to the selected media item
recommendation 27 in the focus area 28 are
programmatically-generated and displayed in different or opposing
vertical axis to the friend media item recommendation list 50 and
intersecting the focus area 28 based on a relational scoring
system. The scoring system identifies the closest related
programmatically-generated media item recommendations 60, as
previously described (steps 124,126).
[0074] If a new media item recommendation selection is made by the
user, from one of the recommendation lists 50, 58 in the window 10
(decision 128), the process continues to FIG. 5B, where it is
determined if the selection is from the friend media item
recommendation list 50 or the programmatically-generated media item
recommendation list 58 (decision 130). If from the
programmatically-generated media item recommendation list 58, the
programmatically-generated selected item 60 is moved to the focus
area 28, and the programmatically-generated media item
recommendations 60 are shifted accordingly (step 132). Optionally,
as discussed above, the friend media item recommendation list 50
may be reordered to display friend media item recommendations 52
having the closest relational score or likeness to the selected
programmatically-generated media item recommendations 60 selected
for the focus area 28 (step 134).
[0075] If, in decision 130, a friend media item recommendation 52
is selected by the user from the friend media item recommendation
list 50, the selected friend media recommendation item 52 is moved
to the focus area 28 (step 134).
[0076] The friend media item recommendation list 50 is shifted
accordingly (step 136). A new programmatically-generated media item
recommendation list 58 is generated based on the new closest in
likeness determination between the selected friend media item
recommendation 27 and the programmatically-generated media item
recommendations 60 (step 138). The programmatically-generated media
item recommendations 60 may be updated locally at a client
application, or remotely at a server or other peer device. After
any of the recommendation lists 50, 58 are updated based on new
most closely related determinations between the friend and/or
programmatically-generated recommendations 52, 60 to the
user-selected media item recommendation 27, the user-selected media
item recommendation 27 and both recommendation lists 50, 58 are
displayed by the GUI (steps 140, 142, 144). If the user exits the
"Nodes" view in the GUI (decision 146), the process repeats, such
as for example by the GUI displaying the media collection window 80
as illustrated in FIG. 4, by returning back to step 112 in FIG. 5A.
If the user does not exit the "Nodes" view in the GUI (decision
146), the process returns back to decision 130 to await a new media
item recommendation selection by the user.
[0077] In order to receive friend media item recommendations 52,
the GUI is executed on a user device that is coupled to a network
to other friend user devices and/or a server(s). In this manner,
friend recommendations can be received from others. In addition, it
may be desired to determine and/or provide the
programmatically-generated media item recommendations 60 from an
offsite system, such as from a server, proxy server, networked peer
device, and/or a remote database. In this regard, FIG. 6
illustrates an exemplary media item recommendation system 150. One
or more user devices 152 are illustrated as networked computing
devices employed by a user to use and/or play media items,
including friend and programmatically-generated media item
recommendations 52, 60. FIG. 6 illustrates a plurality of user
devices 152, namely user devices 152A, 152B, 152C, and up through
including any number of user devices to 152N. The user devices 152
provide the GUI to the user as well as a networked device to
receive friend and programmatically-generated media item
recommendations 52, 60 from other devices and/or systems.
[0078] The user devices 152 typically contain a web browser and/or
client application 154 to provide the GUI to the user. A
recommendation engine 156 may be provided to handle recommendation
related processing, such as the operations provided by the present
invention. An A/V player 158 may be provided to allow the user to
play and/or use media items, including recommendations. Lastly, the
user devices 152 may include their own A/V collection 160,
comprising media items either stored locally or accessible from a
remote system over a network 162, such as the Internet, which is a
TCP-IP based network.
[0079] The web browser or client application 154 can establish a
connection over the network 162 to a central/proxy server 164. The
server 164 can be any type of computing device that is coupled to
the network 162. Examples of user devices 152 that may be used to
access the server 164 and/or other users over the network 162
include, but are not limited to, personal computers, wireless
portable media players (PMPs), personal digital assistants (PDAs),
and the like.
[0080] The server 164 may be comprised of several components to
facilitate user connections and provide media related services.
These components may be comprised of a web component 166, a market
component 168, and a server component 170. The server component 170
may also provide an application program interface (API) 172 to
provide a downloadable client application to the user devices 152
for interfacing, ordering, and receiving media related services
from the server 164 after an initial session is established between
a user device 152 and the server 164 via the web browser 154, for
example. A database 174 may be located on location at the server
164 for storage of data, including but not limited to media items
and information relating to friend and/or
programmatically-generated media item recommendations 52, 60. A
network accessible database 174' may also be utilized to provide
storage capabilities remote from the server 164 and/or as backup
data storage, if desired.
[0081] Some media items requested and/or recommended that need to
be accessed may not be stored locally in the server database 174 or
the network database 174', but rather obtained from subscription
services 176 via network 162 access on-demand. In this regard,
network accessible subscription services 176 may be provided for
user devices 152 to access media items for downloading. The server
164 and/or the user devices 152 may access the subscription
services 176 over the network 162. Further, the server 164 and/or
the user devices 152 can communicate over the network 162 with
content identification systems 178 to provide identifying and other
characteristic information about media items, such as information
regarding artists, song titles, genre, etc. in the example of song
content in particular. This information may be used to provide the
media item information 32 for the selected media item
recommendation 27 displayed in the focus area 28, as illustrated in
FIG. 1. The allows access to user friendly information about media
items as part of the services provided by the server 164 and/or the
user devices 152. The identification systems 178 may be coupled
with or contain content descriptors 180 that are compared to media
items to identify and provide information regarding media items.
For an example of songs in particular, the descriptors 180 may
include known fingerprints and/or Global Unique IDs (GUIDs) to
identify songs and obtain metadata containing information about the
songs, such as title, artist, genre, etc. A uniform resource
locator (URL) may be included to identify location(s) for the
descriptor information.
[0082] FIG. 7 illustrates an exemplary communication flow diagram
that may be employed by the media item recommendation system 150
illustrated in FIG. 6. The process may be used to send friend media
item recommendations 52 as a precursor for a user receiving the
media item recommendations to employ the present invention. In this
regard, a first user may play a media item on their user device
152A using their A/V player 158A (step 200). The media item played
may then be selected to be recommended to another friend user (step
202). The user device 152A sends the media item recommendation to
the server 164 or peer device (step 204) destined for a recipient.
The media item recommendation is then forwarded to the recipient
friend, which is user device 152N in the illustrated example (step
206). Thereafter, the media item recommendation can be displayed by
the user in the media item table 88, such as illustrated in FIG. 4
(step 208). The user may cause the GUI executing on the user device
152N to enter the "Nodes" display mode, as illustrated by example
in FIG. 1 (step 210).
[0083] Next, the friend media item recommendation list 50 may be
determined and displayed according to the closest likeness or
relation to the selected media item recommendation 27 (step 212).
The programmatically-generated media item recommendation list 58 is
then requested offsite from the server 164 or from a peer device as
examples, as an optional step (step 214). This is because the
programmatically-generated media item recommendations 60 may not be
provided locally at the user device 152N, and may be determined by
a relational likeness or distance determination system or algorithm
provided by another system on-demand, as needed. If requested, the
results are returned (step 216), and the GUI displays the selected
media item recommendation 27 in the focus area 28, with the friend
media item recommendation list 50 displayed in a first intersecting
axis and the programmatically-generated media item recommendation
list 58 provided in a second intersecting axis, as previously
described above and illustrated in FIG. 1 (step 218).
[0084] FIG. 8 is a flow chart illustrating an alternative
embodiment of how a likeness or distance score may be assigned to
media item recommendations 52, 60 in order to provide an ordered
friend media item recommendation list 50 for the present invention.
In this embodiment, the model is based in part on user-defined
preferences for choosing or weighing attributes regarding media
items. Other methods may be employed, and the present invention is
not limited to use of user preferences for determining or weighting
media item attributes. As discussed above, a likeness or distance
model or algorithm is employed to order a users' friend media item
recommendations 52 for browsing and/or selection. In this manner,
the user can browse through friend media item recommendations 52 in
order or likeness. In response to selection of a friend media item
recommendation 52, programmatically-generated media item
recommendations 60 are scored by likeness and generated based on
closest relation or likeness to the selected media item
recommendation 27 for display in a different axis from the friend
media item recommendation list 50.
[0085] Turning to FIG. 8, the user preferences are obtained (step
230). The friend media item recommendations 52 received previously
by the user from friends are scored for likeness based in part on
the user's preferences for attributes used in the model (step 232).
The likeness or distance is stored, typically at the user device
152, for use by the client application when needed, such as when
providing the features of the present invention (step 234). If a
new media item recommendation is received (decision 236), the
process may be repeated to determine the likeness or distance of
the media item recommendations 52, 60 since a new received media
item recommendation could alter the order of the media item
recommendations 52, 60. If a raw likeness score is used to score
media item recommendations 52, 60, the process may not need to be
completely repeated, but only the newly received media item
recommendation be scored to determine if the recommendations 52, 60
should be reordered.
[0086] FIG. 9 is an example of a GUI 320 where a user can select
the desired weights of certain media item attributes that may be
used to determine likeness between two media items by adjusting
corresponding sliding bars 322-330. Once the weights are assigned,
the user may select an OK button 332 to store the weighting of the
media item attributes, or select a REVERT button 334 to return the
weights of the categories to their previous or default settings. In
addition, the user may select a SUGGEST FROM PROFILE button 336 to
have the recommendation engine 156 or server 164 suggest weights
for the categories based on a user profile.
[0087] It should be noted that the term "relation" in the present
invention is mean to represent relation between two media items,
whether that be based on likeness, distance, or any other relation.
The term "relation" is meant to encompass any of these alternative
phraseologies to compare media item recommendations in accordance
with the present invention. These terms are used interchangeably to
set forth the concept of determining the most closely related or
most closely alike media items according to whatever model or
scoring system is employed. The present invention is not limited to
any particular model or scoring system. Any number of different
attributes, which may or may not be influenced by a user's
preferences or selections, may be used, and still be within the
scope and spirit of the present invention.
[0088] Those skilled in the art will recognize improvements and
modifications to the preferred embodiments of the present
invention. All such improvements and modifications are considered
within the scope of the concepts disclosed herein and the claims
that follow.
* * * * *