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WETICE
2000
IEEE
13 years 11 months ago
Developing and Evaluating Collaborative Engineering Studios
We discuss a vision of and work in progress on a collaborative engineering environment, the Collaborative Design Studio, being developed at the Geometric and Intelligent Computing...
Jonathan Sevy, Vera Zaychik, Thomas T. Hewett, Wil...
RECSYS
2010
ACM
13 years 7 months ago
Nantonac collaborative filtering: a model-based approach
A recommender system has to collect users' preference data. To collect such data, rating or scoring methods that use rating scales, such as good-fair-poor or a five-point-sca...
Toshihiro Kamishima, Shotaro Akaho
KCAP
2003
ACM
14 years 24 days ago
Capturing interest through inference and visualization: ontological user profiling in recommender systems
Tools for filtering the World Wide Web exist, but they are hampered by the difficulty of capturing user preferences in such a diverse and dynamic environment. Recommender systems ...
Stuart E. Middleton, Nigel R. Shadbolt, David De R...
CIKM
2008
Springer
13 years 9 months ago
Are click-through data adequate for learning web search rankings?
Learning-to-rank algorithms, which can automatically adapt ranking functions in web search, require a large volume of training data. A traditional way of generating training examp...
Zhicheng Dou, Ruihua Song, Xiaojie Yuan, Ji-Rong W...
CIKM
2009
Springer
13 years 11 months ago
Blogger-centric contextual advertising
This paper addresses the concept of Blogger-Centric Contextual Advertising, which refers to the assignment of personal ads to any blog page, chosen in according to bloggers' ...
Teng-Kai Fan, Chia-Hui Chang