Invention Grant
- Patent Title: Calculating expertise confidence based on content and social proximity
-
Application No.: US14837770Application Date: 2015-08-27
-
Publication No.: US10319048B2Publication Date: 2019-06-11
- Inventor: Leonid Bolshinsky , Inbal Ronen , Eitan Shapiro , Arnon Yogev
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Cuenot, Forsythe & Kim, LLC
- Main IPC: G06F16/00
- IPC: G06F16/00 ; G06Q50/00 ; G06F16/951 ; G06F16/33

Abstract:
A method includes executing, via a processor, a document-oriented search based on a query in an index of documents to generate a set of document results, each document associated with at least one potential expert. The method includes analyzing the document results to produce a list of potential experts. The method includes calculating an expertise score for each potential expert based on a calculated content score and metadata score for each potential expert. The method includes calculating an evidence diversity score for each potential expert. The method includes calculating a confidence score for each potential expert based on a diversity-constrained content score and a diversity-constrained metadata score for each potential expert. The method includes displaying a list of potential experts with associated confidence scores.
Public/Granted literature
- US20160179810A1 CALCULATING EXPERTISE CONFIDENCE BASED ON CONTENT AND SOCIAL PROXIMITY Public/Granted day:2016-06-23
Information query