313 citations · 750 across the 46 of their papers we have counts for
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cs.IR2017★ 313 cited
Current Challenges and Visions in Music Recommender Systems Research
Markus Schedl, Hamed Zamani, Ching-Wei Chen +2
Music recommender systems (MRS) have experienced a boom in recent years, thanks to the emergence and success of online streaming services, which nowadays make available almost all…
cs.IR2017★ 11 cited
Using Mise-En-Scène Visual Features based on MPEG-7 and Deep Learning for Movie Recommendation
Yashar Deldjoo, Massimo Quadrana, Mehdi Elahi +1
Item features play an important role in movie recommender systems, where recommendations can be generated by using explicit or implicit preferences of users on traditional features…