Title :
A TrueSkill approach for movies recommendation
Author :
Laura Vanessa Cruz Quispe;Jos? Eduardo Ochoa Luna
Author_Institution :
National University of San Agust?n, Arequipa, Per?
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.
Keywords :
"Bayes methods","Adaptation models","Computational modeling","Electronic mail","Probabilistic logic","Silicon","Motion pictures"
Conference_Titel :
Computing Conference (CLEI), 2015 Latin American
DOI :
10.1109/CLEI.2015.7359992
