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» Feature-Weighted User Model for Recommender Systems
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SIGIR
2008
ACM
13 years 7 months ago
Hierarchical naive bayes models for representing user profiles
In this paper, we show how a user profile can be enhanced when a more detailed description of the products is included. Two main assumptions have been considered: the first implie...
Juan F. Huete, Luis M. de Campos, Juan M. Fern&aac...
AAAI
2012
11 years 10 months ago
A Sequential Decision Approach to Ordinal Preferences in Recommender Systems
We propose a novel sequential decision approach to modeling ordinal ratings in collaborative filtering problems. The rating process is assumed to start from the lowest level, eva...
Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
ADBIS
2007
Springer
207views Database» more  ADBIS 2007»
14 years 2 months ago
Applying User Profile Ontology for Mining Web Site Adaptation Recommendations
The Internet consists of web sites that employ different kinds of structures as the backbone of their build-up. However, users are browsing the web according to its content, regard...
Tarmo Robal, Ahto Kalja
CCIA
2005
Springer
14 years 1 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...
ICWSM
2008
13 years 9 months ago
A Social Network Based Approach to Personalized Recommendation of Participatory Media Content
Given the rapid growth of participatory media content such as blogs, there is a need to design personalized recommender systems to recommend only useful content to users. We belie...
Aaditeshwar Seth, Jie Zhang