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» An Economic Model of User Rating in an Online Recommender Sy...
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IIR
2010
13 years 9 months ago
Context-Dependent Recommendations with Items Splitting
Recommender systems are intelligent applications that help on-line users to tackle information overload by providing recommendations of relevant items. Collaborative Filtering (CF...
Linas Baltrunas, Francesco Ricci
DMIN
2007
183views Data Mining» more  DMIN 2007»
13 years 9 months ago
Crawling Attacks Against Web-based Recommender Systems
—User profiles derived from Web navigation data are used in important e-commerce applications such as Web personalization, recommender systems, and Web analytics. In the open en...
Runa Bhaumik, Robin D. Burke, Bamshad Mobasher
WECWIS
2005
IEEE
137views ECommerce» more  WECWIS 2005»
14 years 1 months ago
Using Singular Value Decomposition Approximation for Collaborative Filtering
Singular Value Decomposition (SVD), together with the Expectation-Maximization (EM) procedure, can be used to find a low-dimension model that maximizes the loglikelihood of obser...
Sheng Zhang, Weihong Wang, James Ford, Fillia Make...
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
14 years 1 months ago
Preference Networks: Probabilistic Models for Recommendation Systems
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
CORR
2010
Springer
169views Education» more  CORR 2010»
13 years 2 months ago
Recommender Systems by means of Information Retrieval
In this paper we present a method for reformulating the Recommender Systems problem in an Information Retrieval one. In our tests we have a dataset of users who give ratings for s...
Alberto Costa, Fabio Roda