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» Implicit User Modelling Using Hybrid Meta-Heuristics
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ETRA
2010
ACM
197views Biometrics» more  ETRA 2010»
14 years 2 months ago
Image ranking with implicit feedback from eye movements
In order to help users navigate an image search system, one could provide explicit information on a small set of images as to which of them are relevant or not to their task. Thes...
David R. Hardoon, Kitsuchart Pasupa
UM
2009
Springer
14 years 2 months ago
How Users Perceive and Appraise Personalized Recommendations
Abstract. Traditional websites have long relied on users revealing their preferences explicitly through direct manipulation interfaces. However recent recommender systems have gone...
Nicolas Jones, Pearl Pu, Li Chen
HICSS
2003
IEEE
144views Biometrics» more  HICSS 2003»
14 years 1 months ago
A Hybrid Approach for User Profiling
With the growing amount of information being digitized, users find it difficult to obtain the most relevant information that is hidden in the deluge of information returned to the...
Danny Chiang Choon Poo, Brian Chng, Jie-Mein Goh
CHI
2009
ACM
14 years 8 months ago
Adaptive pointing: implicit gain adaptation for absolute pointing devices
Werner A. K?nig HCI-Group, University of Konstanz Box-D73, Universit?t Konstanz 78457 Konstanz, Germany werner.koenig@uni-konstanz.de Jens Gerken HCI-Group, University of Konstanz ...
Harald Reiterer, Jens Gerken, Stefan Dierdorf, Wer...
ECIR
2006
Springer
13 years 9 months ago
A User-Item Relevance Model for Log-Based Collaborative Filtering
Abstract. Implicit acquisition of user preferences makes log-based collaborative filtering favorable in practice to accomplish recommendations. In this paper, we follow a formal ap...
Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders