Invention Grant
- Patent Title: Local metric learning for tag recommendation in social networks using indexing
-
Application No.: US13036209Application Date: 2011-02-28
-
Publication No.: US09600826B2Publication Date: 2017-03-21
- Inventor: Mohamed Aymen Benzarti , Boris Chidlovskii , Nishant Vijayakumar
- Applicant: Mohamed Aymen Benzarti , Boris Chidlovskii , Nishant Vijayakumar
- Applicant Address: US CT Norwalk
- Assignee: XEROX CORPORATION
- Current Assignee: XEROX CORPORATION
- Current Assignee Address: US CT Norwalk
- Agency: Fay Sharpe LLP
- Main IPC: G06F15/18
- IPC: G06F15/18 ; G06Q30/02 ; G06Q50/00 ; G06K9/00

Abstract:
A tag recommendation for an item to be tagged is generated by: selecting a set of candidate neighboring items in an electronic social network based on context of items in the electronic social network respective to an owner of the item to be tagged; selecting a set of nearest neighboring items from the set of candidate neighboring items based on distances of the candidate neighboring items from the item to be tagged as measured by an item comparison metric; and selecting at least one tag recommendation based on tags of the items of the set of nearest neighboring items. The item comparison metric may comprise a Mahalanobis distance metric trained on the set of candidate neighboring items to correlate the trained Mahalanobis distance between pairs of items of the set of candidate neighboring items with an overlap metric indicative of overlap of the tag sets of the two items.
Public/Granted literature
- US20120219191A1 LOCAL METRIC LEARNING FOR TAG RECOMMENDATION IN SOCIAL NETWORKS Public/Granted day:2012-08-30
Information query