Exploring the power of visual features for the recommendation of movies

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Title:	Exploring the power of visual features for the recommendation of movies
Authors:	ID Rimaz, Mohammad Hossein (Author) ID Elahi, Mehdi (Author) ID Moghadam, Farshad Bakhshandegan (Author) ID Trattner, Christoph (Author) ID Hosseini, Reza (Author) ID Tkalčič, Marko (Author)
Files:	https://dl.acm.org/citation.cfm?doid=3320435.3320470 https://dl.acm.org/citation.cfm?doid=3320435.3320470
Language:	English
Work type:	Unknown
Typology:	1.08 - Published Scientific Conference Contribution
Organization:	IAM - Andrej Marušič Institute
Keywords:	movies, recommender system, visual features
Year of publishing:	2019
Number of pages:	str. 303-308
PID:	20.500.12556/RUP-12410
UDC:	004
DOI:	10.1145/3320435.3320470
COBISS.SI-ID:	1541814980
Publication date in RUP:	10.02.2020
Views:	3577
Downloads:	117
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Title:	Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization, Larnaca, Cyprus, June 9-12, 2019
Place of publishing:	New York
Publisher:	ACM
ISBN:	978-1-4503-6021-0
COBISS.SI-ID:	1541788612

Language:	English
Keywords:	filmi, priporočilni sistem, vizualne značilke

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