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» Trust-based collaborative filtering
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AINA
2009
IEEE
15 years 10 months ago
A Property Based Framework for Trust and Reputation in Mobile Computing
In this paper we reinforce the benefits of a trust based approach in mobile multi-agent systems. Whilst we do not specify a trust model we provide a framework for property based ...
Kevin Jones, Helge Janicke, Antonio Cau
IRAL
2003
ACM
15 years 8 months ago
An approach for combining content-based and collaborative filters
In this work, we apply a clustering technique to integrate the contents of items into the item-based collaborative filtering framework. The group rating information that is obtain...
Qing Li, Byeong Man Kim
IIR
2010
15 years 4 months ago
An Empirical Comparison of Collaborative Filtering Approaches on Netflix Data
Recommender systems are widely used in E-Commerce for making automatic suggestions of new items that could meet the interest of a given user. Collaborative Filtering approaches co...
Nicola Barbieri, Massimo Guarascio, Ettore Ritacco
RECSYS
2010
ACM
15 years 3 months ago
Incremental collaborative filtering via evolutionary co-clustering
Collaborative filtering is a popular approach for building recommender systems. Current collaborative filtering algorithms are accurate but also computationally expensive, and so ...
Mohammad Khoshneshin, W. Nick Street
SIGIR
2008
ACM
15 years 3 months ago
EigenRank: a ranking-oriented approach to collaborative filtering
A recommender system must be able to suggest items that are likely to be preferred by the user. In most systems, the degree of preference is represented by a rating score. Given a...
Nathan Nan Liu, Qiang Yang