Invention Grant
- Patent Title: Relevant persons identification leveraging both textual data and social context
- Patent Title (中): 相关人员识别利用文本数据和社会语境
-
Application No.: US13422189Application Date: 2012-03-16
-
Publication No.: US08812496B2Publication Date: 2014-08-19
- Inventor: Jean-Michel Renders , Amin Mantrach
- Applicant: Jean-Michel Renders , Amin Mantrach
- Applicant Address: US CT Norwalk
- Assignee: Xerox Corporation
- Current Assignee: Xerox Corporation
- Current Assignee Address: US CT Norwalk
- Agency: Fay Sharpe LLP
- Main IPC: G06F17/30
- IPC: G06F17/30

Abstract:
A set of documents is annotated by metadata specifying persons associated with documents and their social roles in the documents. The annotated documents define a group of representation modes including at least one content type and at least one social role. An electronic processing device computes a relevance score for a person of interest using a set of queries each having a target social role by performing a sequence of operations that includes the following operations: computing similarities between documents and queries with respect to at least one similarity mode of the group of representation modes; enriching queries or documents to identify and aggregate nearest neighbor documents that are most similar with respect to at least one enrichment mode of the group of representation modes; aggregating over documents; aggregating over queries; and aggregating over at least one of (i) enrichment modes, (ii) similarity modes, and (iii) target social roles.
Public/Granted literature
- US20130103681A1 Relevant persons identification leveraging both textual data and social context Public/Granted day:2013-04-25
Information query