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CIKM
2009
Springer
15 years 4 months ago
Exploring relevance for clicks
Mining feedback information from user click-through data is an important issue for modern Web retrieval systems in terms of architecture analysis, performance evaluation and algor...
Rongwei Cen, Yiqun Liu, Min Zhang, Bo Zhou, Liyun ...
KDD
2006
ACM
185views Data Mining» more  KDD 2006»
15 years 10 months ago
Understanding Content Reuse on the Web: Static and Dynamic Analyses
Abstract. In this paper we present static and dynamic studies of duplicate and near-duplicate documents in the Web. The static and dynamic studies involve the analysis of similar c...
Ricardo A. Baeza-Yates, Álvaro R. Pereira J...
WWW
2006
ACM
15 years 10 months ago
Time-dependent semantic similarity measure of queries using historical click-through data
It has become a promising direction to measure similarity of Web search queries by mining the increasing amount of clickthrough data logged by Web search engines, which record the...
Qiankun Zhao, Steven C. H. Hoi, Tie-Yan Liu, Soura...
NIPS
2001
14 years 11 months ago
The Intelligent surfer: Probabilistic Combination of Link and Content Information in PageRank
The PageRank algorithm, used in the Google search engine, greatly improves the results of Web search by taking into account the link structure of the Web. PageRank assigns to a pa...
Matthew Richardson, Pedro Domingos
WWW
2006
ACM
15 years 10 months ago
Beyond PageRank: machine learning for static ranking
Since the publication of Brin and Page's paper on PageRank, many in the Web community have depended on PageRank for the static (query-independent) ordering of Web pages. We s...
Matthew Richardson, Amit Prakash, Eric Brill