Predicting Future User Behaviour in Interactive Live TV

Autor:	Andreas Pütz, Martin Gude, Stefan M. Grünvogel
Rok vydání:	2008
Předmět:	World Wide Web Multimedia Computer science Recommender system Impossibility computer.software_genre computer Personalization
Zdroj:	Changing Television Environments ISBN: 9783540694779 EuroITV
DOI:	10.1007/978-3-540-69478-6_14
Popis:	Recommender systems are a means of personalisation providing their users with personalised recommendations of items that would possibly suit the users needs. They are used in a broad area of contexts where items are somehow linked to users. The creation of recommendations of interactive live TV suffers from several inherent problems, e.g. the impossibility to foresee the contents of the next items or the reactions of the user to the changing programme. This paper proposes an algorithm for building personalised streams within interactive live TV. The development of the algorithm comprises a basic model for users and media items. A first preliminary evaluation of the alogithm is executed and the results discussed.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::29da7069b9f6209b6c89220b9eb98d69 https://doi.org/10.1007/978-3-540-69478-6_14 Zobrazit plný text záznamu