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The use of machine learning algorithms in recommender systems: A systematic review
Recommender systems use algorithms to provide users with product or service recommendations. Recently, these systems have been using machine learning algorithms from the field of artificial intelligence. However, choosing ...
Time-consistent mean–variance portfolio optimization: A numerical impulse control approach
We investigate the time-consistent mean–variance (MV) portfolio optimization problem, popular in investment–reinsurance and investment-only applications, under a realistic context that involves the simultaneous application ...
Towards a Trait Model of Video Game Preferences
(Taylor & Francis, 2018-04-19)
Typologies for understanding players’ preferences toward different gameplay styles have gained popularity in research. However, attempts to model players’ preferences are based on type models instead of trait models, ...
Empirical validation of the Gamification User Types Hexad scale in English and Spanish
Gamification, the use of game elements in non-game systems, is now established as a relevant research field in human-computer interaction (HCI). Several empirical studies have shown that gameful interventions can increase ...