Method and apparatus for generating recommendations based on consistency of selection

• US 20020075320A1
• Filed: 12/14/2000
• Published: 06/20/2002
• Est. Priority Date: 12/14/2000
• Status: Abandoned Application

• Current Assignee: Philips Electronics North America Corporation (Koninklijke Philips N.V.)
• Original Assignee: Philips Electronics North America Corporation (Koninklijke Philips N.V.)
• Inventors: Kurapati, Kaushal
• Application Number:
  US09/736,908
• Publication Number:
  US 20020075320A1
• Time in Patent Office: Days
• US Class Current: 715/811
• CPC Class Codes: H04N 21/25891 being end-user preferences retrieval of video data in a video database based on user preferences G06F16/739; arrangements for recognizing users' preferences H04H60/46; 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 21/44222 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 21/466 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 21/4668 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
• CPC Class Codes: H04N 7/165 Centralised control of user terminal subsequent to an upstream request signal H04N7/17345; Registering at central by two-way working H04N7/17309

Abstract

A method and apparatus are disclosed for generating recommendations for one or more items based on the consistency with which an item was selected relative to the number of times the item was offered. The present invention adjusts a conventional program recommender score based on a consistency metric. The exemplary consistency metric is defined as the ratio of the number of times an item was selected over the number of times the item was offered in a given time period. In an exemplary program recommendation implementation, the consistency metric is defined as the ratio of the number of times a program was watched over the number of times the program was presented in a given time period. Generated recommendation scores can be increased or decreased in an appropriate manner to reward or penalize a user for consistent or inconsistent, respectively, selection of the item.

Claims

1. A method for recommending items, comprising the steps of:

obtaining a list of one or more available items;

obtaining a recommendation score, R, for said one or more available items;

calculating an adjustment, A, to said recommendation score, R, based on a consistency with which an item was selected by a user relative to the number of times the item was offered; and

generating a combined recommendation score, C, based on said recommendation score, R, and said adjustment, A.

2. The method of claim 1, wherein said list of one or more items are programs obtained from an electronic program guide.

3. The method of claim 1, wherein said recommendation score, R, is provided by an explicit program recommender.

4. The method of claim 1, wherein said recommendation score, R, is provided by an implicit program recommender.

5. The method of claim 1, wherein said recommendation score, R, is defined as a weighted average of individual ratings of program features.

6. The method of claim 1, further comprising the step of presenting said combined recommendation score, C, for each of said one or more programs to a user.

7. The method of claim 1, wherein said adjustment to said recommendation score, R, does not exceed a predefined value.

8. A method for recommending items, comprising the steps of:

obtaining a list of one or more available items; and

calculating a recommendation score for said one or more items based on a consistency with which an item was selected by a user relative to the number of times the item was offered.

9. The method of claim 8, further comprising the step of presenting said combined recommendation score, C, for said program to a user.

10. The method of claim 8, wherein said list of one or more available items are programs obtained from an electronic program guide.

11. A system for recommending items, comprising:

a memory for storing computer readable code; and

a processor operatively coupled to said memory, said processor configured to;

obtain a list of one or more available items;

obtain a recommendation score, R, for said one or more available items;

calculate an adjustment, A, to said recommendation score, R, based on a consistency with which an item was selected by a user relative to the number of times the item was offered; and

generate a combined recommendation score, C, based on said recommendation score, R, and said adjustment, A.

12. The system of claim 11, wherein said list of one or more items are programs obtained from an electronic program guide.

13. The system of claim 11, wherein said recommendation score, R, is provided by an explicit program recommender.

14. The system of claim 11, wherein said recommendation score, R, is provided by an implicit program recommender.

15. The system of claim 11, wherein said recommendation score, R, is defined as a weighted average of individual ratings of program features.

16. The system of claim 11, wherein said processor is further configured to present said combined recommendation score, C, for each of said one or more programs to a user.

17. The system of claim 11, wherein said adjustment to said recommendation score, R, does not exceed a predefined value.

19. The system of claim 18, wherein said processor is further configured to present said combined recommendation score, C, for said program to a user.

20. The system of claim 18, wherein said list of one or more available items are programs obtained from an electronic program guide.

18. A system for recommending items, comprising:

a memory for storing computer readable code; and

a processor operatively coupled to said memory, said processor configured to;

obtain a list of one or more available items; and

calculate a recommendation score for said one or more items based on a consistency with which an item was selected by a user relative to the number of times the item was offered.

21. An article of manufacture for recommending television items, comprising:

a computer readable medium having computer readable code means embodied thereon, said computer readable program code means comprising;

a step to obtain a list of one or more available items;

a step to obtain a recommendation score, R, for said one or more available items;

a step to calculate an adjustment, A, to said recommendation score, R, based on a consistency with which an item was selected by a user relative to the number of times the item was offered; and

a step to generate a combined recommendation score, C, based on said recommendation score, R, and said adjustment, A.

22. An article of manufacture for generating a recommendation score for an item, comprising:

a computer readable medium having computer readable code means embodied thereon, said computer readable program code means comprising;

a step to obtain a list of one or more available items; and

a step to calculate a recommendation score for said one or more items based on a consistency with which an item was selected by a user relative to the number of times the item was offered.