Methods and systems for dynamically recommending favorite channels or programs

• US 20150334461A1
• Filed: 05/14/2014
• Published: 11/19/2015
• Est. Priority Date: 05/14/2014
• Status: Abandoned Application

• Current Assignee: Looq System, Inc.
• Original Assignee: Looq System, Inc.
• Inventors: Yu, Woody
• Application Number:
  US14/120,314
• Publication Number:
  US 20150334461A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: H04N 21/44204 Monitoring of content usage, e.g. the number of times a movie has been viewed, copied or the amount which has been watched monitoring of user activities for profile generation for accessing a video database G06F16/739; protecting generic digital content where the protection is independent of the precise nature of the content G06F21/10; arrangements for monitoring the use made of the broadcast services in broadcast systems H04H60/31
• 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 21/466 Learning process for intelligent management, e.g. learning user preferences for recommending movies services using the results of monitoring in broadcast systems H04H60/61
• 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 21/4668 for recommending content, e.g. movies
• CPC Class Codes: H04N 21/84 Generation or processing of descriptive data, e.g. content descriptors systems specially adapted for using meta-information in broadcast systems H04H60/73

Abstract

A method for dynamically recommending favorite channels or programs, implemented on a computer and a non-transitory computer-readable storage medium, comprises the following steps: collecting historical data of a user'"'"'s operations; classifying the historical data; determining a ranking of channels or programs in each class; querying current or future broadcast information; matching the broadcast information with the ranking of channels or programs; and recommending to the user a favorite channel or program list with a predetermined degree of match.

Claims

1. A method for dynamically recommending favorite channels or programs, implemented on a computer and a non-transitory computer-readable storage medium, comprising:

collecting historical data of a user'"'"'s operations;

classifying the historical data;

determining a ranking of channels or programs in each class;

querying broadcast information periodically;

matching the broadcast information with the ranking of channels or programs; and

recommending a favorite channel or program list with a predetermined degree of match.

2. The method according to claim 1, wherein each channel or program in the historical data is classified according to dates and time periods when the user watches the program.

3. The method according to claim 1, wherein channels and programs in each class are ranked according to a user'"'"'s preference degree.

4. The method according to claim 1, wherein a current broadcast information is matched with the ranking of channels or programs.

5. The method according to claim 1, wherein the favorite channel list is recommended according to a degree of match between a current and a next broadcast information and the ranking of channels or programs.

6. A system for dynamically recommending favorite channels or programs, comprising:

a computer and a non-transitory computer-readable storage medium configured to include;

a collecting module configured to collect historical data of a user'"'"'s operations;

a ranking module configured to classify the historical data and determine a ranking of channels or programs in each class;

a querying module configured to periodically query broadcast information;

a matching module configured to match the broadcast information with the ranking of channels or programs; and

a recommending module configured to recommend to the user a favorite channel or program list with a predetermined degree of match.

7. The system according to claim 6, wherein the ranking module further comprises a fine classification module configured to classify each channel or program in the historical data according to dates and time periods when the user watches the program.

8. The system according to claim 6, wherein the ranking module further comprises a calculating module configured to rank channels and programs in each class according to a user'"'"'s preference degree.

9. The system according to claim 6, wherein the matching module further comprises a real-time matching module configured to match the current broadcast information with the ranking of channels or programs.

10. The system according to claim 6, wherein the recommending module further comprises a comprehensive recommending module configured to recommend the favorite channel list according to a predetermined degree of match between the current and next broadcast information with the ranking of channels or programs.