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» Benchmarking Data Mining Algorithms
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WWW
2008
ACM
16 years 7 months ago
Substructure similarity measurement in chinese recipes
Improving the precision of information retrieval has been a challenging issue on Chinese Web. As exemplified by Chinese recipes on the Web, it is not easy/natural for people to us...
Liping Wang, Qing Li, Na Li, Guozhu Dong, Yu Yang
KDD
2008
ACM
183views Data Mining» more  KDD 2008»
16 years 7 months ago
De-duping URLs via rewrite rules
A large fraction of the URLs on the web contain duplicate (or near-duplicate) content. De-duping URLs is an extremely important problem for search engines, since all the principal...
Anirban Dasgupta, Ravi Kumar, Amit Sasturkar
KDD
2000
ACM
115views Data Mining» more  KDD 2000»
15 years 10 months ago
A framework for specifying explicit bias for revision of approximate information extraction rules
Information extraction is one of the most important techniques used in Text Mining. One of the main problems in building information extraction (IE) systems is that the knowledge ...
Ronen Feldman, Yair Liberzon, Binyamin Rosenfeld, ...
KDD
2006
ACM
129views Data Mining» more  KDD 2006»
16 years 7 months ago
Bias and controversy: beyond the statistical deviation
In this paper, we investigate how deviation in evaluation activities may reveal bias on the part of reviewers and controversy on the part of evaluated objects. We focus on a `data...
Hady Wirawan Lauw, Ee-Peng Lim, Ke Wang
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
16 years 7 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