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KDD
2007
ACM
192views Data Mining» more  KDD 2007»
14 years 10 months ago
Active exploration for learning rankings from clickthrough data
We address the task of learning rankings of documents from search engine logs of user behavior. Previous work on this problem has relied on passively collected clickthrough data. ...
Filip Radlinski, Thorsten Joachims
WWW
2004
ACM
14 years 10 months ago
Combining link and content analysis to estimate semantic similarity
Search engines use content and link information to crawl, index, retrieve, and rank Web pages. The correlations between similarity measures based on these cues and on semantic ass...
Filippo Menczer
AIRWEB
2007
Springer
14 years 2 months ago
Measuring Similarity to Detect Qualified Links
The early success of link-based ranking algorithms was predicated on the assumption that links imply merit of the target pages. However, today many links exist for purposes other ...
Xiaoguang Qi, Lan Nie, Brian D. Davison
CIKM
2005
Springer
14 years 3 months ago
Concept-based interactive query expansion
Despite the recent advances in search quality, the fast increase in the size of the Web collection has introduced new challenges for Web ranking algorithms. In fact, there are sti...
Bruno M. Fonseca, Paulo Braz Golgher, Bruno P&ocir...
CSE
2009
IEEE
14 years 4 months ago
Usable Privacy Controls for Blogs
—Web 2.0 applications, including blogs, wikis and social networking sites, pose challenging privacy issues. Many users are unaware that search engines index personal information ...
Michael Hart, Claude Castille, Rob Johnson, Amanda...