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» A Knowledge Recommend System Based on User Model
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JUCS
2006
95views more  JUCS 2006»
13 years 8 months ago
POCA : A User Distributions Algorithm in Enterprise Systems with Clustering
Abstract: As enterprises worldwide race to improve real-time management to improve productivity, customer services and flexibility, huge resources have been invested into enterpris...
Ping-Yu Hsu, Ping-Ho Ting
EUSFLAT
2003
103views Fuzzy Logic» more  EUSFLAT 2003»
13 years 9 months ago
Instance-based collaborative filtering with fuzzy labels
In recommender systems, user ratings of items are often represented in terms of linguistic labels such as “fair” or “very good”. We investigate the potential of fuzzy sets...
Eyke Hüllermeier
SIGIR
2005
ACM
14 years 1 months ago
Self-organizing distributed collaborative filtering
We propose a fully decentralized collaborative filtering approach that is self-organizing and operates in a distributed way. The relevances between downloading files (items) are...
Jun Wang, Marcel J. T. Reinders, Reginald L. Lagen...
HICSS
2008
IEEE
147views Biometrics» more  HICSS 2008»
14 years 2 months ago
Toward a Ubiquitous Personalized Daily-Life Activity Recommendation Service with Contextual Information: A Services Science Pers
In recent years Services Science has been an emerging discipline that aims to promote service innovation and increase service productivity by aligning scientific, management, and ...
Chen-Ya Wang, Yueh-Hsun Wu, Seng-cho Timothy Chou
CORR
2011
Springer
173views Education» more  CORR 2011»
13 years 3 months ago
Probability Based Clustering for Document and User Properties
Information Retrieval systems can be improved by exploiting context information such as user and document features. This article presents a model based on overlapping probabilistic...
Thomas Mandl, Christa Womser-Hacker