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» Feature-Weighted User Model for Recommender Systems
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ICWS
2010
IEEE
13 years 5 months ago
An Approach for Context-Aware Service Discovery and Recommendation
Given the large amount of existing services and the diversified needs nowadays, it is time-consuming for end-users to find appropriate services. To help end-users obtain their desi...
Hua Xiao, Ying Zou, Joanna Ng, Leho Nigul
ECAI
2006
Springer
13 years 11 months ago
A Client/Server User-Based Collaborative Filtering Algorithm: Model and Implementation
Abstract. This paper describes a new way of implementing an intelligent web caching service, based on an analysis of usage. Since the cache size in software is limited, and the sea...
Sylvain Castagnos, Anne Boyer
JCDL
2004
ACM
146views Education» more  JCDL 2004»
14 years 1 months ago
Enhancing digital libraries with TechLens+
The number of research papers available is growing at a staggering rate. Researchers need tools to help them find the papers they should read among all the papers published each y...
Roberto Torres, Sean M. McNee, Mara Abel, Joseph A...
RECSYS
2009
ACM
14 years 2 months ago
Latent dirichlet allocation for tag recommendation
Tagging systems have become major infrastructures on the Web. They allow users to create tags that annotate and categorize content and share them with other users, very helpful in...
Ralf Krestel, Peter Fankhauser, Wolfgang Nejdl
INCDM
2007
Springer
121views Data Mining» more  INCDM 2007»
14 years 1 months ago
Collaborative Filtering Using Electrical Resistance Network Models
Abstract. In a recommender system where users rate items we predict the rating of items users have not rated. We define a rating graph containing users and items as vertices and r...
Jérôme Kunegis, Stephan Schmidt