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WWW
2008
ACM
16 years 2 months ago
Learning to rank relational objects and its application to web search
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
WWW
2009
ACM
16 years 2 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, ...
AAMAS
2002
Springer
15 years 1 months ago
MySpiders: Evolve Your Own Intelligent Web Crawlers
The dynamic nature of the World Wide Web makes it a challenge to find information that is both relevant and recent. Intelligent agents can complement the power of search engines to...
Gautam Pant, Filippo Menczer
WWW
2003
ACM
16 years 2 months ago
Monitoring the dynamic web to respond to continuous queries
Continuous queries are queries for which responses given to users must be continuously updated, as the sources of interest get updated. Such queries occur, for instance, during on...
Sandeep Pandey, Krithi Ramamritham, Soumen Chakrab...
CIKM
2011
Springer
14 years 1 months ago
Personalizing web search results by reading level
Traditionally, search engines have ignored the reading difficulty of documents and the reading proficiency of users in computing a document ranking. This is one reason why Web se...
Kevyn Collins-Thompson, Paul N. Bennett, Ryen W. W...