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» Context-aware ranking in web search
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WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
12 years 4 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...
SEMWEB
2010
Springer
13 years 3 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»
13 years 6 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
13 years 11 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»
13 years 8 months 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