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» A Knowledge Recommend System Based on User Model
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CCIA
2005
Springer
14 years 1 months ago
Acquiring Unobtrusive Relevance Feedback through Eye-Tracking in Ambient Recommender Systems
Acquiring relevant information to keep user’s preferences up-to-date is crucial in recommender systems in order to close the cycle of recommendations. Ambient Intelligence is a s...
Gustavo González, Beatriz López, Cec...
UM
2001
Springer
14 years 4 days ago
A User Modeling Approach to Determining System Initiative in Mixed-Initiative AI Systems
Abstract. In this paper, we address the problem of providing guidelines to designers of mixed-initiative artificial intelligence systems, which specify when the system should take...
Michael W. Fleming, Robin Cohen
RECSYS
2010
ACM
13 years 8 months ago
Recommending based on rating frequencies
Since the development of the comparably simple neighborhood-based methods in the 1990s, a plethora of techniques has been developed to improve various aspects of collaborative fil...
Fatih Gedikli, Dietmar Jannach
CSCW
2000
ACM
14 years 2 days ago
Explaining collaborative filtering recommendations
Automated collaborative filtering (ACF) systems predict a person’s affinity for items or information by connecting that person’s recorded interests with the recorded interests...
Jonathan L. Herlocker, Joseph A. Konstan, John Rie...
RECSYS
2009
ACM
14 years 2 months ago
Using twitter to recommend real-time topical news
Recommending news stories to users, based on their preferences, has long been a favourite domain for recommender systems research. In this paper, we describe a novel approach to n...
Owen Phelan, Kevin McCarthy, Barry Smyth