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» A Knowledge Recommend System Based on User Model
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ATAL
2003
Springer
14 years 28 days ago
Recommender systems: a market-based design
Recommender systems have been widely advocated as a way of coping with the problem of information overload for knowledge workers. Given this, multiple recommendation methods have ...
Yan Zheng Wei, Luc Moreau, Nicholas R. Jennings
ESWA
2008
152views more  ESWA 2008»
13 years 7 months ago
Collaborative recommender systems: Combining effectiveness and efficiency
Recommender systems base their operation on past user ratings over a collection of items, for instance, books, CDs, etc. Collaborative filtering (CF) is a successful recommendatio...
Panagiotis Symeonidis, Alexandros Nanopoulos, Apos...
ICDE
2007
IEEE
90views Database» more  ICDE 2007»
14 years 2 months ago
Music Recommendation Mapping and Interface Based on Structural Network Entropy
Recommendation systems generally produce the results of their output to their users in the form of an ordinal list. In the interest of simplicity, these lists are often obscure, ,...
Justin Donaldson
MIR
2010
ACM
264views Multimedia» more  MIR 2010»
14 years 2 months ago
Quest for relevant tags using local interaction networks and visual content
Typical tag recommendation systems for photos shared on social networks such as Flickr, use visual content analysis, collaborative filtering or personalization strategies to prod...
Neela Sawant, Ritendra Datta, Jia Li, James Ze Wan...
ITS
2004
Springer
105views Multimedia» more  ITS 2004»
14 years 1 months ago
The Massive User Modelling System (MUMS)
Developing a learner model containing an accurate representation of a learner’s knowledge is made more difficult in distributed learning environments where the learner uses mult...
Christopher A. Brooks, Mike Winter, Jim E. Greer, ...