584 citations · 607 across the 7 of their papers we have counts for
3 papers · 1 filter
Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks
Massimo Quadrana, Alexandros Karatzoglou, Balázs Hidasi +1
Session-based recommendations are highly relevant in many modern on-line services (e.g. e-commerce, video streaming) and recommendation settings. Recently, Recurrent Neural Network…
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…