학술논문

Recommender System for Sport Videos Based on User Audiovisual Consumption
Document Type
Periodical
Source
IEEE Transactions on Multimedia IEEE Trans. Multimedia Multimedia, IEEE Transactions on. 14(6):1546-1557 Dec, 2012
Subject
Components, Circuits, Devices and Systems
Communication, Networking and Broadcast Technologies
Computing and Processing
General Topics for Engineers
Videos
Hidden Markov models
Recommender systems
Games
Collaboration
Context
Audiovisual consumption
hidden Markov model (HMM)
recommender system
sport videos
Language
ISSN
1520-9210
1941-0077
Abstract
This paper describes a recommender system for sport videos, transmitted over the Internet and/or broadcast, in the context of large-scale events, which has been tested for the Olympic Games. The recommender is based on audiovisual consumption and does not depend on the number of users, running only on the client side. This avoids the concurrence, computation and privacy problems of central server approaches in scenarios with a large number of users, such as the Olympic Games.