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A Survey on Popularity Bias in Recommender Systems
We furthermore critically discuss today's literature, where we observe that the research is almost entirely based on computational experiments and on certain assumptions regarding the practical effects of including long-tail items in the recommendations.
ACM RecSys 2018 Late-Breaking Results Proceedings
The ACM RecSys'18 Late-Breaking Results track (previously known as the Poster track) is part of the main program of the 2018 ACM Conference on Recommender Systems in Vancouver, Canada.
Comparing Neural and Attractiveness-based Visual Features for Artwork Recommendation
Advances in image processing and computer vision in the latest years have brought about the use of visual features in artwork recommendation.
Exploring Content-based Artwork Recommendation with Metadata and Visual Features
Compared to other areas, artwork recommendation has received little attention, despite the continuous growth of the artwork market.
