METHOD AND SYSTEM FOR A PERSONALIZED CONTENT PLAY LIST

• US 20130080907A1
• Filed: 09/24/2012
• Published: 03/28/2013
• Est. Priority Date: 09/23/2011
• Status: Abandoned Application

• Current Assignee: Sidebar Incorporated
• Original Assignee: Sidebar Incorporated
• Inventors: Skelton, Richard, Rosenthal, Jason, Wilson, Eric, Grossman, Stephanie L., Kennedy, Patrick
• Application Number:
  US13/625,839
• Publication Number:
  US 20130080907A1
• Time in Patent Office: Days
• US Class Current: 715/738
• CPC Class Codes: G06F 3/0482 Interaction with lists of selectable items, e.g. menus
• CPC Class Codes: H04N 21/4667 Processing of monitored end-user data, e.g. trend analysis based on the log file of viewer selections
• CPC Class Codes: H04N 21/4755 for defining user preferences, e.g. favourite actors or genre retrieval personalisation and generation of user profiles for the retrieval of video data G06F16/739; user profiles in network data switching protocols H04L67/306
• CPC Class Codes: H04N 21/4758 for providing answers, e.g. voting
• CPC Class Codes: H04N 21/4826 using recommendation lists, e.g. of programs or channels sorted out according to their score

Abstract

The present invention provides a method for presenting content information to a user. The method includes receiving a filter selection and applying by a processor the filter selection to metadata of available content to form a hierarchical presentation of the available content. The method also includes providing the hierarchical presentation of the available content for display to the user. A system is provided for presenting content information to a user that includes a viewing history database. The system also includes an available content index including data concerning available content. The system further includes a recommendation engine adapted to access the viewing history database and form a reordered available content index by applying at least one filter selection to metadata of the available content. A non-transitory computer readable medium having recorded thereon a program is provided.

Claims

1. A method for presenting content information to a user, comprising:

receiving a filter selection;

applying by a processor the filter selection to metadata of available content to form a hierarchical presentation of the available content;

providing the hierarchical presentation of the available content for display to the user.

2. The method of claim 1, wherein:

the filter selection is a duration of time available to the user to consume the content; and

the duration of time is at least one of received from the user and a historical user preference determined by a recommendation engine based on content consumption data of the user.

3. The method of claim 2, wherein:

the duration of time is the historical user preference;

the content consumption data comprises at least one of;

a first user input associated with a time of day;

a second user input associated with a day of the week; and

a genre preference; and

at least one of the first user input and the second user input is at least one of a mood input and a content consumption selection.

4. The method of claim 1, wherein:

the filter selection is a historical analysis of a user'"'"'s past preferences; and

the historical analysis is determined by a recommendation engine based on content consumption data of the user.

5. The method of claim 1, wherein:

the filter selection is a mood of the user that is input by the user; and

the user sets a slider on a scale from low to high on at least one mood indicator.

6. The method of claim 5, wherein:

the at least one mood indicator is at least two mood indicators; and

the at least two mood indicators include at least two of dark, witty and dry.

7. The method of claim 1, wherein:

the filter selection is a mood of the user determined by a recommendation engine based on content consumption data of the user;

the content consumption data of the user includes at least one of;

a first user input associated with a time of day;

a second user input associated with a day of the week; and

a genre preference; and

at least one of the first user input and the second user input is at least one of a mood input and a content consumption selection.

8. The method of claim 1, wherein the available content comprises at least one of:

broadcast television;

cable television;

streaming video;

audio content; and

DVR-accessible video.

9. The method of claim 1, wherein the hierarchical presentation of the available content maximizes a likelihood of a user preference for content presented earlier in the hierarchical presentation.

10. A system for presenting content information to a user, comprising:

a viewing history database;

an available content index comprising data concerning available content; and

a recommendation engine adapted to access the viewing history database and form a reordered available content index by applying at least one filter selection to metadata of the available content.

11. The system of claim 10, further comprising a display module adapted to receive reordered available content index and provide the reordered available content index.

12. The system of claim 10, further comprising:

a user input module adapted to receive a user input;

wherein the filter selection is a duration of time available to the user to consume the content; and

wherein the duration of time is at least one of received from the user and a historical user preference determined by the recommendation engine based on content consumption data of the user.

13. The system of claim 10, wherein:

the duration of time is the historical user preference;

the content consumption data comprises at least one of;

a first user input associated with a time of day;

a second user input associated with a day of the week; and

a genre preference; and

at least one of the first user input and the second user input is at least one of a mood input and a content consumption selection.

14. The system of claim 10, wherein:

the filter selection is a historical analysis of a user'"'"'s past preferences; and

the historical analysis is determined by a recommendation engine based on content consumption data of the user.

15. The system of claim 10, wherein:

the filter selection is a mood of the user input by the user; and

the user sets a slider on a scale from low to high on at least one mood indicator.

16. The system of claim 10, wherein:

the at least one mood indicator is at least two mood indicators; and

the at least two mood indicators include at least two of dark, witty and dry.

17. The system of claim 10, wherein:

the filter selection is a mood of the user determined by a recommendation engine based on content consumption data of the user;

the content consumption data of the user includes at least one of;

a first user input associated with a time of day;

a second user input associated with a day of the week; and

a genre preference; and

at least one of the first user input and the second user input is at least one of a mood input and a content consumption selection.

18. The system of claim 10, wherein the available content comprises at least one of:

broadcast television;

cable television;

streaming video;

audio content; and

DVR-accessible video.

19. The system of claim 10, wherein the hierarchical presentation of the available content maximizes a likelihood of a user preference for content presented earlier in the hierarchical presentation.

20. A non-transitory computer readable medium having recorded thereon a program, the program when executed causing a computer to perform a method, the method for presenting content information to a user, the method comprising:

receiving a filter selection;

applying the filter selection to metadata of available content to form a hierarchical presentation of the available content, the hierarchical presentation of the available content maximizing a likelihood of a user preference for content presented earlier in the hierarchical presentation;

providing the hierarchical presentation of the available content for display to the user.