@article{amolochitis_implementing_2014,
	title = {Implementing a {Commercial}-{Strength} {Parallel} {Hybrid} {Movie} {Recommendation} {Engine}},
	volume = {29},
	issn = {1541-1672},
	url = {http://dx.doi.org/10.1109/MIS.2014.23},
	doi = {10.1109/MIS.2014.23},
	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.},
	number = {2},
	journal = {IEEE Intell. Syst.},
	author = {Amolochitis, E and Christou, I T and Tan, Zheng-Hua},
	month = mar,
	year = {2014},
	pages = {92--96},
}

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