Naslov
Building an IPTV VoD Recommender System: An Experience Report

Autori
Pripužić, Krešimir ; Podnar Žarko, Ivana ; Podobnik, Vedran ; Lovrek, Ignac ; Čavka, Marko ; Petković, Ivan ; Stulić, Petra ; Gojčeta, Mario

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 12th International Conference on Telecommunications / Pripužić, Krešimir ; Banek, Marko - Zagreb : Sveučilište u Zagrebu, 2013, 155-162

ISBN
978-953-184-175-7

Skup
12th International Conference on Telecommunications

Mjesto i datum
Zagreb, Hrvatska, 26.06.2013. - 28.06.2013

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
recommender system; video on demand; internet protocol television

Sažetak
Internet Protocol Television (IPTV) is an increasingly popular multimedia service which is used to deliver television, video, audio and other interactive content over proprietary IP-based networks. Video on Demand (VoD) is one of the most popular IPTV services, and is very important for IPTV providers since it represents the second most important revenue stream after monthly subscriptions. In addition to high-quality VoD content, profitable VoD service provisioning requires an enhanced content accessibility to greatly improve end-user experience. Moreover, it is imperative to offer innovative features to attract new customers and retain existing ones. To achieve this goal, IPTV systems typically employ VoD recommendation engines to offer personalized lists of VoD items that are potentially interesting to a user from a large amount of available titles. In practice, a good recommendation engine does not offer popular and well-known titles, but is rather able to identify interesting among less popular items which would otherwise be hard to find. In this paper we report our experience in building a VoD recommendation system. The presented evaluation shows that our recommendation system is able to recommend less popular items while operating under a high load of end-user requests.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Ekonomija

POVEZANOST RADA