IVIS: Search and visualization on heterogeneous information networks

Yu, Yintao

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

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

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

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

Copyright and License Information

Copyright 2010 Yintao Yu

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