Personal Content Recommender Based on a Hierarchical User Model for the Selection of TV Programmes

Author： Pogacnik Matevz   Tasic Jurij   Meza Marko   Kosir Andrej  

Publisher： Springer Publishing Company

ISSN： 0924-1868

Source： User Modeling and User-Adapted Interaction, Vol.15, Iss.5, 2005-11, pp. : 425-457

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

User interest modeling for social TV-recommender systems based on audiovisual consumption

By Sanchez Faustino   Barrilero Marta   Alvarez Federico   Cisneros Guillermo  

Multimedia Systems, Vol. 19, Iss. 6, 2013-11 ,pp. : 493-507

Springer Publishing Company

Access to resources Recommend Favorite

A content-collaborative recommender that exploits WordNet-based user profiles for neighborhood formation

By Degemmis Marco  

User Modeling and User-Adapted Interaction, Vol. 17, Iss. 3, 2007-07 ,pp. : 217-255

Springer Publishing Company

Access to resources Recommend Favorite

End-user live editing of iTV programmes

By Pimentel Maria da Graca Campos   Cattelan Renan G.   Melo Erick Lazaro   Prado Antonio Francisco   Teixeira Cesar Augusto Camillo  

International Journal of Advanced Media and Communication, Vol. 4, Iss. 1, 2009-12 ,pp. : 78-103

Inderscience Publishers

Access to resources Recommend Favorite

Simulating a trust-based service recommender system for decentralised user modelling environment

By Nusrat Sabrina   Vassileva Julita  

International Journal of Trust Management in Computing and Communications, Vol. 1, Iss. 2, 2013-04 ,pp. : 121-139

Inderscience Publishers

Access to resources Recommend Favorite

An opinion-based decision model for recommender systems

By Kim Sea Woo   Chung Chin-Wan   Kim DaeEun  

Online Information Review, Vol. 33, Iss. 3, 2009-06 ,pp. : 584-602

Emerald Group Publishing Ltd

Access to resources Recommend Favorite