Hefbib : hierarchical expert finding in heterogeneous bibliographic network

Expert finding systems allow users to type simple text queries and retrieve names of individuals who possess the expertise described in the queries. Such applications are especially useful in real world: conference orga- nizers may search for reviewers, company recruiters may search for talented candidates, graduate students may search for advisers and researchers may search for collaborators, etc. In this study, we propose Hefbib, a hierarchical approach to expert finding in heterogeneous bibliographic network, to construct an expert hierarchy given a seed textual topic hierarchy as well as retrieve authoritative experts given a search query. Experiments on synthetic toy examples and real-world DBLP dataset show promising results.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Computer Science

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Luo, Hao

Contributors dc:contributor

• Han, Jiawei

• Expert Finding
• Heterogeneous Information Network

Statement dc:rights

• Copyright 2015 by Hao Luo

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/88227

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/88227