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CIKM
2008
Springer
15 years 8 months ago
Are click-through data adequate for learning web search rankings?
Learning-to-rank algorithms, which can automatically adapt ranking functions in web search, require a large volume of training data. A traditional way of generating training examp...
Zhicheng Dou, Ruihua Song, Xiaojie Yuan, Ji-Rong W...
GIR
2008
ACM
15 years 7 months ago
Geographic features in web search retrieval
We conduct large-scale search engine relevance experiments, using the 12% of queries that contain placenames, matching the placenames to places in the documents, and examining the...
Rosie Jones, Ahmed Hassan, Fernando Diaz
JASIS
2006
140views more  JASIS 2006»
15 years 6 months ago
Relevance criteria identified by health information users during Web searches
This study focused on the relevance judgments made by health information users using the Web. Health information users were conceptualized as motivated information users concerned...
Abe Crystal, Jane Greenberg
EMNLP
2009
15 years 4 months ago
Improving Web Search Relevance with Semantic Features
Most existing information retrieval (IR) systems do not take much advantage of natural language processing (NLP) techniques due to the complexity and limited observed effectivenes...
Yumao Lu, Fuchun Peng, Gilad Mishne, Xing Wei, Ben...
PET
2010
Springer
15 years 10 months ago
Private Information Disclosure from Web Searches
As the amount of personal information stored at remote service providers increases, so does the danger of data theft. When connections to remote services are made in the clear and ...
Claude Castelluccia, Emiliano De Cristofaro, Danie...