Relevance Search via Bipolar Label Diffusion on Bipartite Graphs

Relevance Search via Bipolar Label Diffusion on Bipartite Graphs

Dr. Zhang Liang

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Ren Lixiao

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Tianjin University of Science and Technology

Relevance Search via Bipolar Label Diffusion on Bipartite Graphs

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Abstract

The task of relevance search is to find relevant items to some given queries, which can be viewed either as an information retrieval problem or as a semi-supervised learning problem. In order to combine both of their advantages, we develop a new relevance search method using label diffusion on bipartite graphs. And we propose a heat diffusion-based algorithm, namely bipartite label diffusion (BLD). Our method yields encouraging experimental results on a number of relevance search problems.

References

27 Cites in Article

Reference Format

V Blondel,A Gajardo,M Heymans,P Senellart,P Dooren (2004). A measure of similarity between graph vertices: Applications to synonym extraction and web searching.
Adrian Carleton,Erica Dewitt,Fey Thurber,Kamil Quinteors,Pari Riahi,Pieter Boersma,Yahya Modarres-Sadeghi (2004). Experiencing the Vortex: An Immersive Exploration of a Natural Phenomenon.
D Lin (1998). Automatic retrieval and clustering of similar words.
Richard Wang,William Cohen (2007). Language-Independent Set Expansion of Named Entities Using the Web.
H Deng,M Lyu,I King (2009). A generalized Co-HITS algorithm and its application to bipartite graphs.
J Wang,S Robertson,A Vries,M Reinders (2008). Probabilistic relevance ranking for collaborative filtering.
William Cohen (2000). Extracting Information from the Web for Concept Learning and Collaborative Filtering.
C Basu,H Hirsh,W Cohen,C Nevill-Manning (1998). Technical Paper Recommendation: A Study in Combining Multiple Information Sources.
H Wang,E Hancock (2008). Probabilistic relaxation labelling using the Fokker-Planck equation.
Jill Cirasella (2007). Google Sets®, Google Suggest®, and Google Search History®: Three More Tools for the Reference Librarian's Bag of Tricks.
Z Ghahramani,K Heller (2005). Advances in Neural Information Processing Systems 14.
J Sun,H Qu,D Chakrabarti,C Faloutsos (2005). Relevance search and anomaly detection in bipartite graphs.
J Lafferty,C Zhai (2002). Probabilistic relevance models based on document and query generation.
Jon Kleinberg (1999). Authoritative sources in a hyperlinked environment.
H Yu,J Han,K Chang,-C (2004). PEBL: Web Page Classification without Negative Examples.
Larry Manevitz,Malik Yousef (2002). One-class document classification via Neural Networks.
Bernhard Schölkopf,John Platt,John Shawe-Taylor,Alex Smola,Robert Williamson (2001). Estimating the Support of a High-Dimensional Distribution.
D Zhou,O Bousquet,T Lal,J Weston,B Schölkopf (2004). Learning with local and global consistency.
Inderjit Dhillon (2001). Co-clustering documents and words using bipartite spectral graph partitioning.
Tianming Hu,Chao Qu,Chew Tan,Sam Sung,Wenjun Zhou (2006). Preserving Patterns in Bipartite Graph Partitioning.
V Sindhwani,P Melville (2008). Document-Word Co-regularization for Semi-supervised Sentiment Analysis.
J Kunegis,A Lommatzsch (2009). Learning spectral graph transformations for link prediction.
Jyh-Ren Shieh,Yang-Ting Yeh,Chih-Hung Lin,Ching-Yung Lin,Ja-Ling Wu (2008). Collaborative knowledge semantic graph image search.
C Bauckhage (2007). Distance-free image retrieval based on stochastic diffusion over bipartite graphs.
X Fern,C Brodley (2004). Solving cluster ensemble problems by bipartite graph partitioning.
M Rege,M Dong,F Fotouhi (2008). Bipartite isoperimetric graph partitioning for data coclustering.
Kai Yu,Wei Chu,Shipeng Yu,Volker Tresp,Zhao Xu (2005). Stochastic Relational Models for Discriminative Link Prediction.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Zhang Liang. 2012. \u201cRelevance Search via Bipolar Label Diffusion on Bipartite Graphs\u201d. Global Journal of Computer Science and Technology - D: Neural & AI GJCST-D Volume 12 (GJCST Volume 12 Issue D10).

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GJCST Volume 12 Issue D10

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

bipartite graphs graph diffusion ranking Relevance search

Submission ReceivedDecember 13, 2011
Peer Review Double Blind
Handling Editor
Accepted January 2, 2012
Published January 15, 2012

Version of record

v1.2

Issue date

August 22, 2012

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Article Matrices

Total Score: 137

Country: China

Subject: Global Journal of Computer Science and Technology - D: Neural & AI

Authors: Dr. Zhang Liang, Ren Lixiao (PhD/Dr. count: 1)

View Count (all-time): 265

Total Views (Real + Logic): 10258

Total Downloads (simulated): 2702

Publish Date: 2012 08, Wed

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Total Views: 10258

Total Downloads: 2702

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