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» Searching the Web: From Keywords to Semantic Queries
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WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
13 years 5 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...
CISIS
2009
IEEE
15 years 2 months ago
Semi-Automatic Annotation System for OWL-Based Semantic Search
—Current keyword search by Google, Yahoo, and so on gives enormous unsuitable results. A solution to this perhaps is to annotate semantics to textual web data to enable semantic ...
C.-H. Liu, H.-C. Chen, J.-L. Jain, J.-Y. Chen
LWA
2008
14 years 11 months ago
Automatic detection of navigational queries according to Behavioural Characteristics
One of the main interests in the Web Information Retrieval research area is the identification of the user interests and needs so the search engines and tools can help the users t...
David J. Brenes, Daniel Gayo-Avello
HT
2009
ACM
15 years 4 months ago
Sixearch.org 2.0 peer application for collaborative web search
Sixearch.org is a peer application for social, distributed, adaptive Web search, which integrates the Sixearch.org protocol, a topical crawler, a document indexing system, a retri...
Namrata Lele, Le-Shin Wu, Ruj Akavipat, Filippo Me...
SIGIR
2009
ACM
15 years 4 months ago
Smoothing clickthrough data for web search ranking
Incorporating features extracted from clickthrough data (called clickthrough features) has been demonstrated to significantly improve the performance of ranking models for Web sea...
Jianfeng Gao, Wei Yuan, Xiao Li, Kefeng Deng, Jian...