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» Extracting Web Data Using Instance-Based Learning
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WWW
2004
ACM
14 years 11 months ago
Link fusion: a unified link analysis framework for multi-type interrelated data objects
Web link analysis has proven to be a significant enhancement for quality based web search. Most existing links can be classified into two categories: intra-type links (e.g., web h...
Wensi Xi, Benyu Zhang, Zheng Chen, Yizhou Lu, Shui...
CLEF
2008
Springer
13 years 12 months ago
Combining Logic and Machine Learning for Answering Questions
Abstract. LogAnswer is a logic-oriented question answering system developed by the AI research group at the University of Koblenz-Landau and by the IICS at the University of Hagen....
Ingo Glöckner, Björn Pelzer
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
14 years 10 months ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims
WIDM
2004
ACM
14 years 3 months ago
Stylistic and lexical co-training for web block classification
Many applications which use web data extract information from a limited number of regions on a web page. As such, web page division into blocks and the subsequent block classifica...
Chee How Lee, Min-Yen Kan, Sandra Lai
CVPR
2010
IEEE
14 years 5 months ago
Improving web-image search results using query-relative classifiers
Web image search using text queries has received considerable attention. However, current state-of-the-art approaches require training models for every new query, and are therefore...
Josip Krapac, Moray Allan, Jakob Verbeek, Frédér...