METHOD AND APPARATUS FOR CONTENT ITEM RECOMMENDATION

• US 20090150340A1
• Filed: 12/05/2007
• Published: 06/11/2009
• Est. Priority Date: 12/05/2007
• Status: Abandoned Application

• Current Assignee: Motorola Mobility, Inc. (Lenovo Group Ltd.)
• Original Assignee: Motorola, Inc. (Motorola Solutions, Inc.)
• Inventors: Bonnefoy, David, Mercer, Kevin C., Bouzid, Makram, Lhuillier, Nicolas
• Application Number:
  US11/950,605
• Publication Number:
  US 20090150340A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G11B 27/322 used signal is digitally coded

Abstract

An apparatus for content item recommendation, such as a Digital Video Recorder, comprises a grouping unit (105) for grouping user ratings for content items into rating groups in response to a content item match criterion. A receiver (109) receives content item data for a plurality of content items and a first recommendation unit (107) generating a first set of content item recommendations. An association unit (111) then determines an associated rating group of the rating groups for each content item recommendation of the first set and a second recommendation unit (113) generates a second set of content item recommendations from the first set in response to a rating group distribution measure for the second set. The invention may allow improved recommendation of content items which is aligned with user preferences yet provide a desired diversity of the provided recommendation. The invention may in particular provide improved performance for multi-user devices.

Claims

1. An apparatus for content item recommendation, the apparatus comprising:

a grouping unit for grouping user ratings for content items into rating groups in response to a content item match criterion;

a receiver for receiving content item data for a plurality of content items;

a first recommendation unit for generating a first set of content item recommendations;

an association unit for determining an associated rating group of the rating groups for each content item recommendation of the first set; and

a second recommendation unit for generating a second set of content item recommendations from the first set in response to a rating group distribution measure for the second set.

2. The apparatus of claim 1 wherein the second recommendation unit is arranged to select content item recommendations for the second set from the first set such that the associated rating groups of the second set meet a rating group distribution criterion.

3. The apparatus of claim 2 wherein the rating group distribution criterion comprises a requirement that at least one content item is selected for each rating group for which a content item recommendation is included in the first set.

4. The apparatus of claim 1 further comprising a unit for adapting a number of recommendations included in the second set for a first rating group in response to a user behaviour associated with the first rating group.

5. The apparatus of claim 4 wherein the user behaviour is a content item consumption characteristic for content items associated with the first rating group.

6. The apparatus of claim 1 further comprising a unit for adapting a number of recommendations included in the second set for a first rating group in response to a number of user ratings grouped in the first rating group.

7. The apparatus of claim 1 wherein the first recommendation unit is arranged to generate a set of content item recommendations for each rating group in response to content item data and user ratings of that rating group, and to generate the first set by combining the content item recommendations of the sets of content item recommendations for each rating group.

8. The apparatus of claim 1 further comprising a data storage for storing content items for which content item recommendations are included in the second set;

and

a presentation unit arranged to present a content item from the data storage in response to a user selection of the content item.

9. The apparatus of claim 1 wherein the second recommendation unit is arranged to generate a preference value for a plurality of candidate content item selections from the first set and to select the second set as the candidate content item selection of the plurality of candidate content item selections having a highest preference value, the preference value for a candidate content item selection being a function of user ratings and a rating group distribution measure for content items of the candidate content item selection.

10. The apparatus of claim 1 further comprising a user interface for presenting content item recommendations from the second set, at least one presentation characteristic for a first content item recommendation being dependent on an associated user rating group for the first content item recommendation.

11. The apparatus of claim 1 further comprising a replacement unit arranged to replace, in the second set, a first content item consumed by a user by a second content item associated with a same rating group as the first content item

12. The apparatus of claim 1 wherein the user ratings comprise user ratings for a plurality of users.

13. The apparatus of claim 12 wherein the user ratings are anonymous.

14. The apparatus of claim 1 arranged to generate content item recommendations for a plurality of users and wherein the rating groups are common to a plurality of users

15. The apparatus of claim 1 wherein the content item match criterion comprises at least one of a content match criterion and a user preference indication match criterion.

16. A method of content item recommendation, the method comprising:

grouping user ratings for content items into rating groups in response to a content item match criterion;

receiving content item data for a plurality of content items;

generating a first set of content item recommendations;

determining an associated rating group of the rating groups for each content item recommendation of the first set; and

generating a second set of content item recommendations from the first set in response to a rating group distribution measure for the second set.