Classifying and Ranking: The First Step Towards Mining Inside Vertical Search Engines
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[1] Hongjun Lu,et al. SG-WRAP: a schema-guided wrapper generator , 2002, Proceedings 18th International Conference on Data Engineering.
[2] Lizhu Zhou,et al. Segmented Document Classification: Problem and Solution , 2006, DEXA.
[3] Gareth J. F. Jones,et al. Applying summarization techniques for term selection in relevance feedback , 2001, SIGIR '01.
[4] Wenfei Fan,et al. Keys with Upward Wildcards for XML , 2001, DEXA.
[5] Thorsten Joachims,et al. Text Categorization with Support Vector Machines: Learning with Many Relevant Features , 1998, ECML.
[6] Alberto O. Mendelzon,et al. WebOQL: restructuring documents, databases and Webs , 1998, Proceedings 14th International Conference on Data Engineering.
[7] Rong Jin,et al. Title language model for information retrieval , 2002, SIGIR '02.
[8] Wei-Ying Ma,et al. Object-level ranking: bringing order to Web objects , 2005, WWW '05.
[9] Fabrizio Sebastiani,et al. Machine learning in automated text categorization , 2001, CSUR.
[10] Zhiqiang Zhang,et al. A Highly Adaptable Web Information Extractor Using Graph Data Model , 2004, APWeb.
[11] Feng Shao,et al. XRANK: ranked keyword search over XML documents , 2003, SIGMOD '03.
[12] Vagelis Hristidis,et al. ObjectRank: Authority-Based Keyword Search in Databases , 2004, VLDB.
[13] Craig A. Knoblock,et al. Learning domain-independent string transformation weights for high accuracy object identification , 2002, KDD.
[14] Jon Kleinberg,et al. Authoritative sources in a hyperlinked environment , 1999, SODA '98.
[15] Andrew McCallum,et al. A comparison of event models for naive bayes text classification , 1998, AAAI 1998.