Implementing a Commercial-Strength Parallel Hybrid Movie Recommendation Engine

Emmanouil Amolochitis, Ioannis T. Christou, Zheng-Hua Tan

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

14 Citationer (Scopus)

Abstract

AMORE is a hybrid recommendation system that provides movie recommendations for a major triple-play services provider in Greece. Combined with our own implementations of several user-, item-, and content-based recommendation algorithms, AMORE significantly outperforms other state-of-the-art implementations both in solution quality and response time. AMORE currently serves daily recommendation requests for all active subscribers of the provider's video-on-demand services and has contributed to an increase of rental profits and customer retention.
OriginalsprogEngelsk
TidsskriftI E E E Intelligent Systems
Vol/bind29
Udgave nummer2
Sider (fra-til)92-96
ISSN1541-1672
DOI
StatusUdgivet - 2014

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