Social Behavior Analysis and Inferring Social Networks for a Recommendation System
First Claim
Patent Images
1. A method for determining items or people of potential interest to recommend to users in a computer-based network, the method comprising:
- obtaining information relating to one or more types of computer-based social behavior for multiple users;
determining one or more implied social networks based at least in part on the obtained social behavior information; and
determining one or more items or people of potential interest to recommend to a user, based at least in part on at least one of the one or more implied social networks.
6 Assignments
0 Petitions
Accused Products
Abstract
Systems and methods are provided for determining items or people of potential interest to recommend to users in a computer-based network. Implied social networks may be determined based at least in part on obtained social behavior information. Items or people of potential interest to users may be determined based at least in part on implied social network information. Vocabulary taxonomies may be associated with, or used in determining, implied social networks.
56 Citations
20 Claims
-
1. A method for determining items or people of potential interest to recommend to users in a computer-based network, the method comprising:
-
obtaining information relating to one or more types of computer-based social behavior for multiple users; determining one or more implied social networks based at least in part on the obtained social behavior information; and determining one or more items or people of potential interest to recommend to a user, based at least in part on at least one of the one or more implied social networks. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
-
-
12. A method for determining items or people of potential interest to recommend to users in a computer-based network, the method comprising:
-
obtaining information relating to a plurality of types of computer-based, word-based social behavior for multiple users; analyzing the obtained word-based social behavior information using a vocabulary taxonomy to determine at least one implied topic-specific social network including a set of users of the multiple users; and determining an item or person of potential interest to recommend to a user of the set of users in the topic-specific social network, based at least on information relating to the topic-specific social network. - View Dependent Claims (13, 14, 15)
-
-
16. A system for determining items or people of potential interest to recommend to users in a computer-based network, the system comprising;
-
one or more server computers connected to a network; and a plurality of user computers connected to the network; wherein the one or more server computers include a computer-based social behavior analysis program, the program being for; obtaining information relating to a plurality of types of computer-based, word-based social behavior for multiple users of the plurality of users; analyzing the obtained word-based social behavior information using a vocabulary taxonomy to determine at least one implied, semantically-sensitive, topic-specific social network including a set of users of the multiple users; and determining an item or person of potential interest to recommend to a user of the set of users in the topic-specific social network, based at least on information relating to the topic-specific social network. - View Dependent Claims (17, 18, 19)
-
-
20. A computer program product, comprising computer-readable medium comprising instructions for causing a processing unit to perform a method for determining items or people of potential interest to recommend to users in a computer-based network, the method comprising:
-
obtaining information relating to a plurality of types of computer-based, word-based social behavior for multiple users; analyzing the obtained word-based social behavior information using a vocabulary-based taxonomy to determine at least one implied topic-specific social network including a set of users of the multiple users; and determining an item or person of potential interest to recommend to a user of the set of users in the topic-specific social network, based at least on information relating to the topic-specific social network.
-
Specification