Title
A TrueSkill approach for movies recommendation
Date Issued
16 December 2015
Access level
metadata only access
Resource Type
conference paper
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
Abstract
In this work a probabilistic approach based on TrueSkill for Preference Elicitation is presented. This approach allow us to tackle the "cold start" problem because relies on a content based recommendation system. In addition, it is valuable for handling high uncertainty due there is no dependency on the number of products and users. The only dependency is on ratings given by users on products. The proposal is highly scalable due to user preferences get richer as they are added.
Language
(Other)
OCDE Knowledge area
Ciencias de la computación
Subjects
Scopus EID
2-s2.0-84961964242
Resource of which it is part
Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015
ISBN of the container
9781467391436
Conference
41st Latin American Computing Conference, CLEI 2015
Sources of information:
Directorio de Producción Científica
Scopus