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Using ODP Metadata to Personalize Search
By Paul Alexandru Chirita, Wolfgang Nejdl, Raluca Paiu and Christian Kohlschütter, L3S and University of Hannover, Germany. In: Proceedings of the 28th Annual International ACM SIGIR Conference, August 2005. The paper discusses how ODP metadata can be e
http://www.l3s.de/~chirita/publications/chirita05using.pdf
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The Structure of Broad Topics on the Web
By Soumen Chakrabarti, Mukul M. Joshi, Kunal Punera and David M. Pennock, IIT Bombay and NEC Research Institute. In: Proceedings of the 11th international conference on World Wide Web, 2002. Many studies on the Web graph concentrate on the graph structu
http://www2002.org/CDROM/refereed/338/
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Enhanced Word Clustering for Hierarchical Text Classification
By Inderjit S. Dhillon, Subramanyam Mallela and Rahul Kumar, University of Texas, Austin, USA. Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining, 2002. The authors propose a new information-theoretic di
http://www.cs.utexas.edu/users/inderjit/public_papers/hierdist.pdf
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Index Construction for Linear Categorisation
By Vaughan R. Shanks and Hugh E. Williams, RMIT University, Melbourne, Australia. Proceedings of the twelfth international conference on Information and knowledge management, 2003. A problem with iterative training techniques for automatic text categori
http://www.seg.rmit.edu.au/research/download.php?manuscript=142
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A General Evaluation Framework for Topical Crawlers
By P. Srinivasan, F. Menczer and G. Pant. In: Information Retrieval, 2005. The ODP hierarchy is used as source for topics.
http://dollar.biz.uiowa.edu/~pant/Papers/crawl_framework.pdf
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Accelerated Focused Crawling through Online Relevance Feedback
By Soumen Chakrabarti, Kunal Punera, IIT Bombay, India, and Mallela Subramanyam, University of Texas, Austin, USA. In: Proceedings of the 11th international conference on World Wide Web, 2002. The ODP taxonomy is used for the experiments.
http://www.cse.iitb.ac.in/soumen/doc/www2002m/p336-chakrabarti.pdf
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THESUS: Organizing Web Document Collections Based on Link Semantics
By Maria Halkidi, Benjamin Nguyen, Iraklis Varlamis and Michalis Vazirgiannis. In: The VLDB Journal - The International Journal on Very Large Data Bases, 2003. Currently Web documents are classified based on their content not taking into account the fact
http://www.db-net.aueb.gr/index.php/corporate/content/download/159/416/file/HNVV03_VLDBJ.pdf
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OCFS: Optimal Orthogonal Centroid Feature Selection for Text Categorization
By Jun Yan, Ning Liu, Benyu Zhang, Shuicheng Yan, Zheng Chen, Qiansheng Cheng, Weiguo Fan and Wei-Ying Ma. In: Proceedings of the 28th Annual International ACM SIGIR Conference, August 2005. Experiments based on 20 Newsgroups (20NG), Reuters Corpus Volum
http://research.microsoft.com/research/pubs/view.aspx?pubid=1460
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Improving Web Search Results Using Affinity Graph
By Benyu Zhang, Hua Li, Yi Liu, Lei Ji, Wensi Xi, Weiguo Fan, Zheng Chen and Wei-Ying Ma. In: Proceedings of the 28th Annual International ACM SIGIR Conference, August 2005. The authors propose a ranking scheme named Affinity Ranking (AR). Yahoo, ODP an
http://research.microsoft.com/research/pubs/view.aspx?type=Publication&id=1454
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Web-Page Summarization Using Clickthrough Data
By Jian-Tao Sun, Dou Shen, HuaJun Zeng, Qiang Yang, Yuchang Lu and Zheng Chen. In: Proceedings of the 28th Annual International ACM SIGIR Conference, August 2005. The authors propose two adapted summarization methods that take advantage of the relationsh
http://research.microsoft.com/research/pubs/view.aspx?type=Publication&id=1462
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