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» Implicit user modeling for personalized search
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CONTEXT
2007
Springer
14 years 1 months ago
Discovering Hidden Contextual Factors for Implicit Feedback
Abstract. This paper presents a statistical framework based on Principal Component Analysis (PCA) for discovering the contextual factors which most strongly influence user behavio...
Massimo Melucci, Ryen W. White
CIVR
2010
Springer
276views Image Analysis» more  CIVR 2010»
14 years 12 days ago
Optimizing visual search with implicit user feedback in interactive video retrieval
This paper describes an approach to optimize query by visual example results, by combining visual features and implicit user feedback in interactive video retrieval. To this end, ...
Stefanos Vrochidis, Ioannis Kompatsiaris, Ioannis ...
SIGIR
2004
ACM
14 years 1 months ago
Implicit queries (IQ) for contextualized search
The Implicit Query (IQ) prototype is a system which automatically generates context-sensitive searches based on a user’s current computing activities. In the demo, we show IQ ru...
Susan T. Dumais, Edward Cutrell, Raman Sarin, Eric...
SIGIR
2008
ACM
13 years 7 months ago
To personalize or not to personalize: modeling queries with variation in user intent
In most previous work on personalized search algorithms, the results for all queries are personalized in the same manner. However, as we show in this paper, there is a lot of vari...
Jaime Teevan, Susan T. Dumais, Daniel J. Liebling
EEE
2005
IEEE
14 years 1 months ago
Personalization Techniques for Web Search Results Categorization
Generic web search is designed to serve all users, independent of the individual needs and without any adaptation to personal requirements. We propose a novel technique1 that perf...
John D. Garofalakis, Theofanis Matsoukas, Yannis P...