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» Determining the user intent of web search engine queries
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WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
12 years 3 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...
IPM
2008
134views more  IPM 2008»
13 years 7 months ago
RSS: A framework enabling ranked search on the semantic web
The semantic web not only contains resources but also includes the heterogeneous relationships among them, which is sharply distinguished from the current web. As the growth of th...
Xiaomin Ning, Hai Jin, Hao Wu
WWW
2009
ACM
14 years 8 months ago
Estimating the impressionrank of web pages
The ImpressionRank of a web page (or, more generally, of a web site) is the number of times users viewed the page while browsing search results. ImpressionRank captures the visibi...
Ziv Bar-Yossef, Maxim Gurevich
CIKM
2008
Springer
13 years 9 months ago
Understanding the relationship between searchers' queries and information goals
We describe results from Web search log studies aimed at elucidating user behaviors associated with queries and destination URLs that appear with different frequencies. We note th...
Doug Downey, Susan T. Dumais, Daniel J. Liebling, ...
IADIS
2004
13 years 9 months ago
Query-Based Indexing in Collaorative Search
The success of Web search is often limited by a variety of factors. Typical queries are vague and imprecise. At the same time, the Web is a dynamic and unmoderated collection and ...
Jill Freyne, Barry Smyth