University of Illinois Urbana-Champaign

IVIS: Search and visualization on heterogeneous information networks

Yu, Yintao

Content Files
Yu_Yintao.pdf

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https://hdl.handle.net/2142/18550

Description

Title
IVIS: Search and visualization on heterogeneous information networks
Author(s)
Yu, Yintao
Issue Date
2011-01-21T22:45:38Z
Director of Research (if dissertation) or Advisor (if thesis)
Han, Jiawei
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Date of Ingest
2011-01-21T22:45:38Z
Keyword(s)
  • Heterogeneous information network
  • Visualization
  • Ranking
  • Information Retrieval
  • Page Rank
  • DBLP
Abstract
We build a system to support search and visualization on heterogeneous information networks. We first build our system on a specialized heterogeneous information network: DBLP. The system aims to facilitate people, especially computer science researchers, toward a better understanding and user experience about academic information networks. Then we extend our system to the Web. Our results are much more intuitive and knowledgeable than the simple top-k blue links from traditional search engines, and bring more meaningful structural results with correlated entities. We also investigate the ranking algorithm, and we show that the personalized PageRank and proposed Hetero-personalized PageRank outperform the TF-IDF ranking or mixture of TF-IDF and authority ranking. Our work opens several directions for future research.
Graduation Semester
2010-12
Permalink
http://hdl.handle.net/2142/18550
Copyright and License Information
Copyright 2010 Yintao Yu

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