Method and apparatus for providing enhanced electronic program guide with personalized selection of broadcast content using affinities data and user preferences

• US 9,392,334 B2
• Filed: 07/02/2013
• Issued: 07/12/2016
• Est. Priority Date: 04/26/2004
• Status: Active Grant

• Current Assignee: Sirius XM Radio Inc. (Liberty Media Corporation)
• Original Assignee: Sirius XM Radio Inc. (Liberty Media Corporation)
• Inventors: Cox, Stuart, Barton, Michael A.
• Primary Examiner(s): EKPO, NNENNA NGOZI
• Application Number:
  US13/933,350
• Publication Number:
  US 20140033256A1
• Time in Patent Office: 1,106 Days
• Field of Search: 725/39, 725/40, 725 45- 47
• US Class Current: 1/1
• CPC Class Codes: H04N 21/252 Processing of multiple end-users' preferences to derive collaborative data
• CPC Class Codes: H04N 21/26283 for associating distribution time parameters to content, e.g. to generate electronic program guide data
• CPC Class Codes: H04N 21/44222 Analytics of user selections, e.g. selection of programs or purchase activity monitoring of user selections in data processing systems G06F11/34; arrangements for monitoring the user's behaviour or opinions in broadcast systems H04H60/33
• CPC Class Codes: H04N 21/4532 involving end-user characteristics, e.g. viewer profile, preferences monitoring of user activities for profile generation for accessing a video database G06F16/739; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• CPC Class Codes: H04N 21/4668 for recommending content, e.g. movies
• CPC Class Codes: H04N 21/47 End-user applications
• 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 21/482 End-user interface for program selection broadcast systems using EPGs H04H60/72
• CPC Class Codes: H04N 21/4821 using a grid, e.g. sorted out by channel and broadcast time
• CPC Class Codes: H04N 21/4826 using recommendation lists, e.g. of programs or channels sorted out according to their score
• CPC Class Codes: H04N 21/6582 Data stored in the client, e.g. viewing habits, hardware capabilities, credit card number arrangements where receivers interact with the broadcast H04H20/38

Abstract

Apparatuses and methods are provided to inform a user of a broadcast stream, which has multiple, concurrently received channels of program content, about recommendations of a subset of the content currently playing across the available channels or to be played within a selected future time period. The subset of content is selected based on user preferences and system data (e.g., program topic and channel affinities among the broadcast content and channels) to recommend a more diverse subset of content than would be discovered if only user preferences were employed to make the selection of recommended content.

Claims

1. A method of generating an enhanced electronic program guide (EPG) for broadcast programming, the broadcast programming being transmitted to a plurality of receivers and comprising various programs playing concurrently on a plurality of channels for selection and playback by the receivers, the EPG being available to all of the plurality of receivers and comprising a listing of programs transmitted on respective ones of the plurality of channels in the broadcast programming, the method comprising:

receiving the broadcast programming;

receiving and storing electronic program guide (EPG) data comprising a listing of programs transmitted on respective ones of the plurality of channels in the broadcast programming during at least a selected time frame;

receiving and storing affinities data comprising at least one of cross-affinities among the plurality of channels, and cross-affinities among a group of topics that can be presented by the broadcast programming, whereby the programs in the broadcast programming are each assigned at least one topic selected from the group of topics;

generating user behavior data at the receiver comprising a history of the amount of time a user has listened to respective ones of the plurality of channels in the received broadcast programming over a designated time period;

determining a subset of the plurality of channels to recommend to the user based on the user behavior data and the received affinities data; and

generating an enhanced EPG output to the user that indicates the subset;

wherein;

when the affinities data comprises cross-affinities among the plurality of channels, each channel comprises a designated content genre and the affinities data comprises, for each given channel, an affinities strength value assigned to at least each of the other channels having a different content genre, the affinities strength value being selected from a range of values indicating how much a typical user, who likes the content genre of a given channel, will like the different content genre of each of the other channels,

when the affinities data comprises cross-affinities among the group of topics presented by the broadcast programming, the affinities data comprises, for each given topic, an affinities strength value assigned to each of the other topics which are different from the given topic, the affinities strength value being selected from a range of values that indicate how much a typical user, who likes the given topic, will like the other different topics,

and

wherein the subset of channels recommended to the user comprises channels having at least one of (i) a different content genre and (ii) a different topic than channels represented in the user behavior data.

2. The method of claim 1, wherein the received affinities data comprises at least one of a listing of the plurality of channels and, for each listed channel, affinities strengths selected from the range of values to represent a range of affinity strengths between the listed channel and some or all others of the plurality of channels, the range of affinity strengths corresponding to the degree to which, if a typical user likes a listed channel, the typical user likes the other channels and comprising at least three of like, may like, neutral and dislike.

3. The method of claim 1, wherein the received affinities data comprises at least one of a listing of the group of topics and, for each listed topic, affinities strengths selected from the range of values to represent a range of affinity strengths between the listed topic and some or all others of the group of topics, the range of affinity strengths corresponding to the degree to which, if a typical user likes a listed topic, the typical user likes the other topics and comprising at least three of like, may like, neutral and dislike.

4. The method of claim 2, wherein the determining comprises determining the subset of channels that comprises selected programs recommended to user, the selected programs being at least one of currently broadcast and received on the subset of channels, or being broadcast and received on the subset of channels during a designated future time period;

and

the selected programs correspond to programs on at least one of the plurality of channels having a cross-affinity comprising a like, may like or a neutral affinity strength with one or more channels to which the user has tuned the receiver over a selected period of time.

5. The method of claim 3, wherein the determining comprises determining the subset of channels that comprises selected programs recommended to a user, the selected programs being at least one of:

i currently broadcast and received on the subset of channels, or

(ii) being broadcast and received on the subset of channels during a designated future time period; and

wherein the selected programs correspond to programs having one or more topics with a cross-affinity comprising a like, may like or a neutral affinity strength to the topics assigned to channels to which the user has tuned the receiver over a selected period of time.

6. The method of claim 1, wherein determining the subset comprises:

detecting a user input indicating that the user desires an enhanced EPG output; and

determining the subset and generating the enhanced EPG output in response to the detected user input.

7. The method of claim 1, wherein generating user behavior data comprises determining temporal listening history of the user to build a profile of personal preference for program channels based on daily or weekly listening habits;

and/or determining spatial listening history of the user to build a profile of personal preference for program channels based on listening location.

8. The method of claim 1, wherein generating an enhanced EPG output comprises generating a listing of the channels or programs in the subset that prioritizes the channels or programs determined to be of greatest interest to the user at the top of the listing.

9. A user device configured to generate an enhanced electronic program guide (EPG) to broadcast programming, the broadcast programming being transmitted to a plurality of receivers and comprising various programs playing concurrently on a plurality of channels for selection and playback by the receivers, an EPG being available to all of the plurality of receivers and comprising a listing of programs transmitted on respective ones of the plurality of channels in the broadcast programming, and affinities data being available to all of the plurality of receivers and comprising at least one of cross-affinities among the plurality of channels in the broadcast programming, and cross-affinities among a group of topics that can be presented by the broadcast programming whereby the programs in the broadcast programming are each assigned at least one topic selected from the group of topics, the user receiver device comprising:

at least one receiver for receiving the broadcast programming, EPG data comprising a listing of programs transmitted on respective ones of the plurality of channels in the broadcast programming during at least a selected time frame, and the affinities data;

a memory device for storing at least the EPG data and the affinities data; and

a processing device configured to generate user behavior data comprising a history of the amount of time a user has listened to respective ones of the plurality of channels in the received broadcast programming over a designated period of time, to determine a subset of the plurality of channels in the EPG to recommend to the user based on the user behavior data and the received affinities data, and to generate an enhanced EPG output to the user that indicates the,

wherein;

when the affinities data comprises cross-affinities among the plurality of channels in the broadcast programming, each channel comprises a designated content genre and the affinities data comprises, for each given channel, an affinities strength value assigned to at least each of the other channels having a different content genre, the affinities strength value being selected from a range of values that indicate how much a typical user, who likes the content genre of a given channel, will like the different content genre of each of the other channels;

when the affinities data comprises cross-affinities among the group of topics presented by the broadcast programming, the affinities data comprises, for each given topic, an affinities strength value assigned to each of the other topics which are different from the given topic, the affinities strength value being selected from a range of values that indicate how much a typical user, who likes the given topic, will like the other different topics; and

wherein the processing device is configured to determine a subset of channels recommended to the user that comprises channels having at least one of different content genre and different topic from channels represented in the user behavior data.

10. The user device of claim 9, wherein the processing device is further configured to determine a subset of channels which comprises selected programs recommended to user, the selected programs being at least one of programs that are being currently broadcast and received on the subset of channels, or programs that are being broadcast and received on the subset of channels during a designated future time period;

wherein the affinities data stored in the memory device comprises at least one of a listing of the plurality of channels and, for each listed channel, affinities strengths selected from the range of values to represent a range of affinity strengths between the listed channel and some or all others of the plurality of channels, the range of affinity strengths corresponding to the degree to which, if a typical user likes a listed channel, the typical user likes the other channels and comprising at least three of like, may like, neutral and dislike; and

wherein the selected programs correspond to programs on at least one of the plurality of channels having a designated affinity strength comprising a like, may like or a neutral affinity strength with one or more channels to which the user has tuned the receiver over a selected period of time.

11. The user device of claim 9, wherein the processing device is further configured to determine a subset of channels which comprises selected programs recommended to user, the selected programs being at least one of programs that are being currently broadcast and received on the subset of channels, or programs that are being broadcast and received on the subset of channels during a designated future time period;

wherein the affinities data stored in the memory device comprises at least one of a listing of the group of topics and, for each listed topic, affinities strengths selected from the range of values to represent a range of affinity strengths between the listed topic and some or all others of the group of topics, the range of affinity strengths corresponding to the degree to which, if a typical user likes a listed topic, the typical user likes the other topics and comprising at least three of like, may like, neutral and dislike; and

wherein the selected programs correspond to programs having one or more topics having a designated affinity strength comprising a like, may like or a neutral affinity strength to any of the topics assigned to channels to which the user has tuned the receiver over a selected period of time.

12. The user device of claim 9, wherein the receiver further comprises a user input device, the processing device being configured to detect a user input via the user input device indicating that the user desires an enhanced EPG output, and to determine the subset and generate the enhanced EPG output in response to the detected user input.

13. The user device of claim 9, wherein the processing device is configured to generate user behavior data by determining temporal listening history of the user to build a profile of personal preference for program channels based on daily or weekly listening habits;

and/or determining spatial listening history of the user to build a profile of personal preference for program channels based on listening location.

14. The user device of claim 9, wherein the processing device is configured to generate an enhanced EPG output by generating a listing of the channels or programs in the subset that prioritizes the channels or programs determined to be of greatest interest to the user at the top of the listing.

15. The user device of claim 9, further a display, wherein the processing device is configured to generate a screen on the display indicating the subset.

16. The user device of claim 9, further comprising a set of user interface buttons, wherein the processing device is configured to program the buttons to tune to respective ones of the channels corresponding to the subset when the buttons are activated by a user.