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» Search Engines that Learn from Implicit Feedback
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85
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WSC
2007
15 years 1 months ago
IFAO-SIMO: a spatial-simulation based facility network optimization framework
This paper describes an innovative framework, iFAOSimo, which integrates optimization, simulation and GIS (geographic information system) techniques to handle complex spatial faci...
Ming Xie, Wei Wang, Wen Jun Yin, Jin Dong
ISSA
2004
15 years 16 days ago
On Privacy And The Web
Chor et al [3] show that when accessing a single public database, a user is only guaranteed safety from an administrator inferring the user's real intentions (an inference at...
Wesley Brandi
110
Voted
GIS
2010
ACM
14 years 9 months ago
Location disambiguation in local searches using gradient boosted decision trees
Local search is a specialization of the web search that allows users to submit geographically constrained queries. However, one of the challenges for local search engines is to un...
Ritesh Agrawal, James G. Shanahan
106
Voted
WWW
2011
ACM
14 years 6 months ago
Characterizing search intent diversity into click models
Modeling a user’s click-through behavior in click logs is a challenging task due to the well-known position bias problem. Recent advances in click models have adopted the examin...
Botao Hu, Yuchen Zhang, Weizhu Chen, Gang Wang, Qi...
IAAI
2011
13 years 10 months ago
NewsFinder: Automating an Artificial Intelligence News Service
NewsFinder automates the steps involved in finding, selecting and publishing news stories that meet subjective judgments of relevance and interest to the Artificial Intelligence c...
Liang Dong, Reid G. Smith, Bruce G. Buchanan