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» Learning and adaptivity in interactive recommender systems
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JUCS
2010
217views more  JUCS 2010»
13 years 5 months ago
The 3A Personalized, Contextual and Relation-based Recommender System
Abstract: This paper discusses the 3A recommender system that targets CSCL (computersupported collaborative learning) and CSCW (computer-supported collaborative work) environments....
Sandy El Helou, Christophe Salzmann, Denis Gillet
JCDL
2011
ACM
191views Education» more  JCDL 2011»
12 years 10 months ago
Serendipitous recommendation for scholarly papers considering relations among researchers
Serendipity occurs when one finds an interesting discovery while searching for something else. In digital libraries, recommendation engines are particularly well-suited for seren...
Kazunari Sugiyama, Min-Yen Kan
KI
2002
Springer
13 years 7 months ago
Adaptivity through Unobstrusive Learning
In this paper, we present an approach for learning interest profiles implicitly from positive user observations only. This approach eliminates the need to prompt users for ratings...
Ingo Schwab, Alfred Kobsa
AAAI
2004
13 years 9 months ago
Making Better Recommendations with Online Profiling Agents
In recent years, we have witnessed the success of autonomous agents applying machine learning techniques across a wide range of applications. However, agents applying the same mac...
Danny Oh, Chew Lim Tan
AH
2006
Springer
14 years 1 months ago
Social Navigation Support in a Course Recommendation System
The volume of course-related information available to students is rapidly increasing. This abundance of information has created the need to help students find, organize, and use re...
Rosta Farzan, Peter Brusilovsky