PERSONALIZED RECOMMENDATION OF USER COMMENTS

• US 20130204833A1
• Filed: 02/02/2012
• Published: 08/08/2013
• Est. Priority Date: 02/02/2012
• Status: Abandoned Application

• Current Assignee: Oath Inc. (Verizon Communications Inc.)
• Original Assignee: Bo Pang
• Inventors: Pang, Bo, Chen, Bee-Chung, Agarwal, Deepak K.
• Application Number:
  US13/364,369
• Publication Number:
  US 20130204833A1
• Time in Patent Office: Days
• US Class Current: 706/52
• CPC Class Codes: G06F 16/335 Filtering based on additional data, e.g. user or group profiles filtering in web context G06F16/9535, G06F16/9536
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

Techniques are described herein for facilitating the consumption of user-generated comments by determining which comments will be of most interest to each individual user. Once the comments that will be of most interest to a particular user are determined, the user-generated comments are presented to that user in a manner that reflects that user'"'"'s predicted interest. A variety of factors may be used to predict, automatically, the interest each individual user would have in each user-generated comment. For example, interest predictions for a user may be based on the user'"'"'s prior rating of comments, various types of profile and/or demographic information about the user, the user'"'"'s social network connections, the authors of the comments, the author of the target subject matter, the user'"'"'s propensity to comment, etc.

Claims

1. A method comprising:

receiving user-generated comments related to a particular target subject matter;

for a first user, generating first interest scores that indicate how much interest the first user would have in each of the user-generated comments;

wherein the first interest scores generated for the first user are based, at least in part, on information that is specific to the first user; and

displaying the user-generated comments to the first user in a user-specific manner that is based, at least in part, on the first interest scores;

wherein the method is performed by one or more computing devices.

2. The method of claim 1 further comprising:

for a second user, generating second interest scores that indicate how much interest the second user would have in each of the user-generated comments;

wherein the first interest scores are different than the second interest scores;

wherein the second interest scores generated for the second user are based, at least in part, on information that is specific to the second user; and

displaying the user-generated comments to the second user in a user-specific manner that is based, at least in part, on the second interest scores.

3. The method of claim 2 wherein the user-generated comments are displayed in a different order to the first user than to the second user.

4. The method of claim 2 further comprising:

selecting a first subset of the user-generated comments to display to the first user based on the first interest scores;

selecting a second subset of the user-generated comments to display to the second user based on the second interest scores;

wherein the first subset is different than the second subset.

5. The method of claim 1 wherein:

the particular target subject matter is an article; and

the user-generated comments are comments about the article.

6. The method of claim 1 wherein the user-generated comments are user reviews of the particular target subject matter.

7. The method of claim 1 wherein the first interest scores are based, at least in part, on one or more comment-specific features.

8. The method of claim 1 wherein the first interest scores are based, at least in part, on one or more author-specific features.

9. The method of claim 1 wherein the first interest scores are based, at least in part, on profile information about the first user.

10. The method of claim 1 wherein the first interest scores are based, at least in part, on prior comment ratings submitted by the first user.

11. The method of claim 1 wherein the first interest scores are based, at least in part, on features specific to the particular target subject matter.

12. A method comprising:

receiving user-generated comments related to a particular target subject matter;

displaying the user-generated comments to a first user in a first user-specific manner that is based, at least in part, on information that is specific to the first user; and

displaying the user-generated comments to a second user in a second user-specific manner that is based, at least in part, on information that is specific to the second user;

wherein the first user-specific manner is different than the second user-specific manner;

wherein the method is performed by one or more computing devices.

13. The method of claim 12 wherein the first user-specific manner uses a first personalized display layout and the second user-specific manner uses a second personalized display layout that is different than the first personalized display layout.

14. The method of claim 12 wherein the first user-specific manner ranks the user-generated comments in a first order, and the second user-specific manner ranks the user-generated comments in a second order that is different than the first order.

15. The method of claim 12 wherein:

both the first user-specific manner and the second user-specific manner establish groups for the user-generated comments; and

membership of the groups displayed to the first user is different than membership of the groups displayed to the second user.

16. One or more non-transitory computer-readable media storing instructions for performing a method, wherein the method comprises:

receiving user-generated comments related to a particular target subject matter;

displaying the user-generated comments to a first user in a first user-specific manner that is based, at least in part, on information that is specific to the first user; and

displaying the user-generated comments to a second user in a second user-specific manner that is based, at least in part, on information that is specific to the second user;

wherein the first user-specific manner is different than the second user-specific manner.

17. The one or more non-transitory computer-readable media of claim 16 wherein displaying the user-generated comments to the first user in the first user-specific manner includes:

for the first user, generating first interest scores that indicate how much interest the first user would have in each of the user-generated comments;

wherein the first interest scores generated for the first user are based, at least in part, on the information that is specific to the first user; and

displaying the user-generated comments to the first user in a manner that is based, at least in part, on the first interest scores.

18. The one or more non-transitory computer-readable media of claim 16 wherein:

the particular target subject matter is an article; and

the user-generated comments are comments about the article.

19. The one or more non-transitory computer-readable media of claim 16 wherein the user-generated comments are user reviews of the particular target subject matter.

20. The one or more non-transitory computer-readable media of claim 16 wherein the first user-specific manner uses a first personalized display layout and the second user-specific manner uses a second personalized display layout that is different than the first personalized display layout.