Methods of preference aggregation in group recommender systems
Anastasiia A. Gorbatenko,
Mykola A. Hodovychenko
Abstract:The rapid growth of data volumes has led to information overload, which impedes informed decision-making. To solve this problem, recommender systems have emerged that analyze user preferences and offer relevant products on their own. One type of recommender system is group recommender systems, which are designed to facilitate collaborative decision-making, increase user engagement, and promote diversity and inclusion. However, these systems face challenges such as accommodating diverse group preferences and ma… Show more
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