Implementing a Commercial-Strength Parallel Hybrid Movie Recommendation Engine

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

Research output: Contribution to journalJournal articleResearchpeer-review

8 Citations (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.
Original languageEnglish
JournalI E E E Intelligent Systems
Volume29
Issue number2
Pages (from-to)92-96
ISSN1541-1672
DOIs
Publication statusPublished - 2014

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Video on demand
Recommender systems
Profitability

Cite this

Amolochitis, Emmanouil ; Christou, Ioannis T. ; Tan, Zheng-Hua. / Implementing a Commercial-Strength Parallel Hybrid Movie Recommendation Engine. In: I E E E Intelligent Systems. 2014 ; Vol. 29, No. 2. pp. 92-96.
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Implementing a Commercial-Strength Parallel Hybrid Movie Recommendation Engine. / Amolochitis, Emmanouil; Christou, Ioannis T.; Tan, Zheng-Hua.

In: I E E E Intelligent Systems, Vol. 29, No. 2, 2014, p. 92-96.

Research output: Contribution to journalJournal articleResearchpeer-review

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