313 citations · 457 across the 6 of their papers we have counts for
3 papers · 1 filter
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…
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…
Toward Active Learning in Cross-domain Recommender Systems
Roberto Pagano, Massimo Quadrana, Mehdi Elahi +1
One of the main challenges in Recommender Systems (RSs) is the New User problem which happens when the system has to generate personalised recommendations for a new user whom the s…