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WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
13 years 9 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...
UIST
2009
ACM
15 years 8 months ago
Mining web interactions to automatically create mash-ups
The deep web contains an order of magnitude more information than the surface web, but that information is hidden behind the web forms of a large number of web sites. Metasearch e...
Jeffrey P. Bigham, Ryan S. Kaminsky, Jeffrey Nicho...
WWW
2008
ACM
16 years 2 months ago
Mining, indexing, and searching for textual chemical molecule information on the web
Current search engines do not support user searches for chemical entities (chemical names and formulae) beyond simple keyword searches. Usually a chemical molecule can be represen...
Bingjun Sun, Prasenjit Mitra, C. Lee Giles
IIS
2003
15 years 3 months ago
Web Search Results Clustering in Polish: Experimental Evaluation of Carrot
Abstract. In this paper we consider the problem of web search results clustering in the Polish language, supporting our analysis with results acquired from an experimental system n...
Dawid Weiss, Jerzy Stefanowski
IPM
2008
155views more  IPM 2008»
15 years 1 months ago
Determining the informational, navigational, and transactional intent of Web queries
In this paper, we define and present a comprehensive classification of user intent for Web searching. The classification consists of three hierarchical levels of informational, na...
Bernard J. Jansen, Danielle L. Booth, Amanda Spink