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» Predicting user interests from contextual information
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CONTEXT
2007
Springer
14 years 4 months ago
OCCAM: Ontology-Based Computational Contextual Analysis and Modeling
The ability to model cognitive agents depends crucially on being able to encode and infer with contextual information at many levels (such as situational, psychological, social, or...
Srini Narayanan, Katie Sievers, Steven J. Maiorano
JCDL
2010
ACM
155views Education» more  JCDL 2010»
14 years 2 months ago
Scholarly paper recommendation via user's recent research interests
We examine the effect of modeling a researcher’s past works in recommending scholarly papers to the researcher. Our hypothesis is that an author’s published works constitute a...
Kazunari Sugiyama, Min-Yen Kan
CIKM
2007
Springer
14 years 4 months ago
Predictive user click models based on click-through history
Web search engines consistently collect information about users interaction with the system: they record the query they issued, the URL of presented and selected documents along w...
Benjamin Piwowarski, Hugo Zaragoza
JASIS
2006
140views more  JASIS 2006»
13 years 9 months ago
Relevance criteria identified by health information users during Web searches
This study focused on the relevance judgments made by health information users using the Web. Health information users were conceptualized as motivated information users concerned...
Abe Crystal, Jane Greenberg
WWW
2008
ACM
14 years 10 months ago
Contextual advertising by combining relevance with click feedback
Contextual advertising supports much of the Web's ecosystem today. User experience and revenue (shared by the site publisher ad the ad network) depend on the relevance of the...
Deepayan Chakrabarti, Deepak Agarwal, Vanja Josifo...