USER IDENTIFICATION THROUGH SUBSPACE CLUSTERING

• US 20150371241A1
• Filed: 06/20/2013
• Published: 12/24/2015
• Est. Priority Date: 06/21/2012
• Status: Abandoned Application

• Current Assignee: Thomson Licensing (Vantiva SA)
• Original Assignee: Thomson Licensing (Vantiva SA)
• Inventors: IOANNIDIS, Stratis, FAWAZ, Nadia, MONTANARI, Andrea, ZHANG, Amy
• Application Number:
  US14/409,772
• Publication Number:
  US 20150371241A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 30/0631 Item recommendations

Abstract

A method to detect a number of individual users included in a composite set of movie ratings having ratings from a plurality of individual users includes accessing the composite set of movie ratings and movie profiles and loading the composite set and movie profiles into a rating analysis engine. Processing the composite set along with the movie profiles determines a number of partitions present in the composite set, wherein the number of partitions is determined iteratively using subspace clustering of ratings from the composite set. The determined number of partitions is output and corresponds to the number of individual users included in the composite set of movie ratings.

Claims

1. A method to detect a number of individual users corresponding to movie ratings in a composite set of movie ratings, the method comprising:

accessing the composite set of movie ratings by loading the composite set into a rating analysis engine;

accessing a set of movie profiles by loading the set of movie profiles into the rating analysis engine;

determining a number of partitions of movie ratings present in the composite set by processing the composite set using the movie profiles, wherein the number of partitions is determined iteratively using subspace clustering of ratings from the composite set;

outputting the number of determined partitions, the determined number of partitions corresponding to the number of individual users.

2. The method of claim 1, wherein accessing a set of movie profiles comprises accessing a set of movie profiles corresponding to movies present in the composite set.

3. The method of claim 1, wherein determining the number of partitions further comprises determining user profiles and a movie-user mapping of ratings from the composite set.

4. The method of claim 3, wherein the determined number of partitions are computed by alternately minimizing a mean square error of the movie-user mapping and the user profiles.

5. The method of claim 1, wherein determining a number of partitions of movie ratings present in the composite set comprises determining a number of hyperplanes associated with movie ratings in the composite set of movies.

6. The method of claim 1, further comprising providing a user profile for each individual user identified in the composite set of movie ratings.

7. The method of claim 6, further comprising providing the user profile for each individual user to a recommender system to determine recommendations for each user.

8. The method of claim 7, further comprising determining demographic information from ratings associated with each individual user.

9. The method of claim 8, further comprising targeting advertisements to a selected individual user based on the determined demographic information.

10. An apparatus to detect a number of individual users corresponding to movie ratings in a composite set of movie ratings, the apparatus comprising:

a network interface to access the composite set of movie ratings and movie profiles;

a processor having access to memory to execute instructions which utilize a subspace clustering algorithm to compute a number of partitions of movie ratings present in the composite set;

outputting the number of determined partitions, the determined number of partitions corresponding to the number of individual users.

11. The apparatus of claim 10, wherein the network interface enables access to the movie profiles which correspond to movies present in the composite set.

12. The apparatus of claim 10, wherein the processor further computes user profiles and a movie-user mapping of ratings from the composite set.

13. The apparatus of claim 10, wherein the determined partitions are computed by alternately minimizing a mean square error of the movie-user mapping and the user profiles.

14. The apparatus of claim 10, wherein the processor computes the number of partitions using hyperplanes associated with the movie ratings in the composite set of movies;

15. The apparatus of claim 10, wherein the processor computes the number of partitions iteratively using subspace clustering of the movie ratings from the composite set.