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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.
Social Network based Short-Term Stock Trading System
This allows the algorithm to ensure the maximization of the obtainable profits by trading on the stock market.
Using Mise-En-Scène Visual Features based on MPEG-7 and Deep Learning for Movie Recommendation
In this paper, we show that user's preferences on movies can be better described in terms of the mise-en-sc\`ene features, i. e., the visual aspects of a movie that characterize design, aesthetics and style (e. g., colors, textures).
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