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» Context-aware ranking in web search
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131
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WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
13 years 8 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...
116
Voted
SEMWEB
2010
Springer
14 years 7 months ago
Semantic search on the Web
Web search is a key technology of the Web, since it is the primary way to access content on the Web. Current standard Web search is essentially based on a combination of textual ke...
Bettina Fazzinga, Thomas Lukasiewicz
DEXA
2010
Springer
230views Database» more  DEXA 2010»
14 years 9 months ago
Hybrid Indexing and Seamless Ranking of Spatial and Textual Features of Web Documents
Abstract. There is a significant commercial and research interest in locationbased web search engines. Given a number of search keywords and one or more locations that a user is in...
Ali Khodaei, Cyrus Shahabi, Chen Li
AAAI
2007
15 years 2 months ago
Aggregating User-Centered Rankings to Improve Web Search
This paper is to investigate rank aggregation based on multiple user-centered measures in the context of the web search. We introduce a set of techniques to combine ranking lists ...
Lin Li, Zhenglu Yang, Masaru Kitsuregawa
ICDE
2010
IEEE
181views Database» more  ICDE 2010»
15 years 19 days ago
Toward large scale data-aware search: Ranking, indexing, resolution and beyond
Abstract— As the Web has evolved into a data-rich repository, with the standard “page view,” current search engines are becoming increasingly inadequate. To realize data-awar...
Tao Cheng, K. C.-C. Chang