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Description
Title: | Hefbib : hierarchical expert finding in heterogeneous bibliographic network |
Author(s): | Luo, Hao |
Advisor(s): | Han, Jiawei |
Department / Program: | Computer Science |
Discipline: | Computer Science |
Degree Granting Institution: | University of Illinois at Urbana-Champaign |
Degree: | M.S. |
Genre: | Thesis |
Subject(s): | Expert Finding
Heterogeneous Information Network |
Abstract: | 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. |
Issue Date: | 2015-07-22 |
Type: | Text |
URI: | http://hdl.handle.net/2142/88227 |
Rights Information: | Copyright 2015 by Hao Luo |
Date Available in IDEALS: | 2015-09-29 2017-09-30 |
Date Deposited: | August 201 |
This item appears in the following Collection(s)
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Dissertations and Theses - Computer Science
Dissertations and Theses from the Dept. of Computer Science -
Graduate Dissertations and Theses at Illinois
Graduate Theses and Dissertations at Illinois