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» A Lattice-Based Model for Recommender Systems
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71
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CCIA
2005
Springer
15 years 3 months ago
Modelling the Human Values Scale in Recommender Systems: A first approach
The objective of this paper is two-fold. The first is to develop a methodology capable of extracting the Human Values Scale (HVS) from the user, with reference to his/her objective...
Javier Guzmán, Gustavo González, Jos...
ACMICEC
2008
ACM
272views ECommerce» more  ACMICEC 2008»
14 years 11 months ago
Adapting the interaction state model in conversational recommender systems
Conventional conversational recommender systems support interaction strategies that are hard-coded into the system in advance. In this context, Reinforcement Learning techniques h...
Tariq Mahmood, Francesco Ricci
83
Voted
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
15 years 3 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
56
Voted
CRIWG
2004
14 years 11 months ago
A Model for a Collaborative Recommender System for Multimedia Learning Material
In a cluster of many servers containing heterogeneous multimedia learning material and serving users with different backgrounds (e.g. language, interests, previous knowledge, hardw...
Nelson A. Baloian, Patricio Galdames, César...
KDD
2007
ACM
191views Data Mining» more  KDD 2007»
15 years 10 months ago
Modeling relationships at multiple scales to improve accuracy of large recommender systems
The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
Robert M. Bell, Yehuda Koren, Chris Volinsky