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» Click chain model in web search
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WWW
2009
ACM
14 years 5 months ago
Click chain model in web search
Given a terabyte click log, can we build an efficient and effective click model? It is commonly believed that web search click logs are a gold mine for search business, because th...
Anitha Kannan, Chao Liu 0001, Christos Faloutsos, ...
CIKM
2009
Springer
13 years 11 months ago
Post-rank reordering: resolving preference misalignments between search engines and end users
No search engine is perfect. A typical type of imperfection is the preference misalignment between search engines and end users, e.g., from time to time, web users skip higherrank...
Chao Liu, Mei Li, Yi-Min Wang
WWW
2009
ACM
14 years 5 months ago
A dynamic bayesian network click model for web search ranking
As with any application of machine learning, web search ranking requires labeled data. The labels usually come in the form of relevance assessments made by editors. Click logs can...
Olivier Chapelle, Ya Zhang
DEXAW
2009
IEEE
139views Database» more  DEXAW 2009»
13 years 11 months ago
Improving Web Page Retrieval Using Search Context from Clicked Domain Names
Abstract—Search context is a crucial factor that helps to understand a user’s information need in ad-hoc Web page retrieval. A query log of a search engine contains rich inform...
Rongmei Li
WWW
2010
ACM
13 years 11 months ago
Sampling high-quality clicks from noisy click data
Click data captures many users’ document preferences for a query and has been shown to help significantly improve search engine ranking. However, most click data is noisy and of...
Adish Singla, Ryen W. White