On collaborative filtering techniques for Live TV and radio discovery and recommendation

Basso, Alessandro; Milanesio, Marco; Panisson, Andre; Ruffo, Giancarlo; Huemer, Christian; Setzer, Thomas
Book chapter in "Lecture Notes in Business Information Processing", 2011, Volume 85, Part 5

In order to integrate properly recording services with other streaming functionalities in a DMR (e.g., AppleTV, PS3) we need a way to put live TV and radio events into friendly catalogs. But recordings are based on parameters to be set by the users, such as timings and

channels, and event discovery can be not trivial. Moreover, personalized recommendations strongly depend on the information quality of discovered events.

In this paper, we propose a general collaborative strategy for discovering and recommending live events from recordings with different timings and settings. Then, we present an analysis of collaborative filtering algorithms using data generated by a real digital video and radio recorder.


DOI
Type:
Ouvrage
Date:
2011-09-02
Department:
Data Science
Eurecom Ref:
3488
Copyright:
© Springer. Personal use of this material is permitted. The definitive version of this paper was published in Book chapter in "Lecture Notes in Business Information Processing", 2011, Volume 85, Part 5 and is available at : http://dx.doi.org/10.1007/978-3-642-23014-1_13

PERMALINK : https://www.eurecom.fr/publication/3488