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WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
14 years 1 months ago
Probabilistic models for personalizing web search
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
CIKM
2011
Springer
14 years 5 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...
CSMR
2010
IEEE
15 years 24 days ago
Automating Coverage Metrics for Dynamic Web Applications
Abstract--Building comprehensive test suites for web applications poses new challenges in software testing. Coverage criteria used for traditional systems to assess the quality of ...
Manar H. Alalfi, James R. Cordy, Thomas R. Dean
KDD
2009
ACM
248views Data Mining» more  KDD 2009»
15 years 10 months ago
PSkip: estimating relevance ranking quality from web search clickthrough data
1 In this article, we report our efforts in mining the information encoded as clickthrough data in the server logs to evaluate and monitor the relevance ranking quality of a commer...
Kuansan Wang, Toby Walker, Zijian Zheng
COLING
2010
15 years 25 days ago
Utilizing User-input Contextual Terms for Query Disambiguation
Precision-oriented search results such as those typically returned by the major search engines are vulnerable to issues of polysemy. When the same term refers to different things,...
Byron J. Gao, David C. Anastasiu, Xing Jiang