AVATAR: a multi-agent TV recommender system using MHP applications

In this paper we present AVATAR, a recommender of personalized TV contents, for which an open multi-agent architecture is proposed. This tool uses different knowledge inference strategies, even though we focus on the description of one of them, the naive Bayesian classifiers. Standardization is a ke...

Full description

Saved in:
Bibliographic Details
Main Authors: Blanco-Fernandez, Y., Pazos-Arias, J.J., Gil-Solla, A., Ramos-Cabrer, M., Lopez-Nores, M., Barragans-Martinez, B.
Format: Conference Proceeding
Language:English
Subjects:
Application software
Avatars
Bayesian methods
Concrete
Digital TV
Feedback
Recommender systems
Streaming media
TV broadcasting
TV receivers
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper we present AVATAR, a recommender of personalized TV contents, for which an open multi-agent architecture is proposed. This tool uses different knowledge inference strategies, even though we focus on the description of one of them, the naive Bayesian classifiers. Standardization is a key issue to achieve wide deployment in this kind of systems. So, the described recommendation tool has been conceived as an application conforming to multimedia home platform (MHP) standard, to be distributed in the broadcast transport stream that will be tuned by each user's receiver. Also, the TV-Anytime specification has been used referred to the description of contents, the users preferences and their activity logs.
DOI:10.1109/EEE.2005.39