Swarm intelligence techniques in recommender systems - A review of recent research

作者: Ladislav Peška , Tsegaye Misikir Tashu , Tomáš Horváth

DOI: 10.1016/J.SWEVO.2019.04.003

关键词:

摘要: Abstract One of the main current applications Intelligent Systems are Recommender systems (RS). RS can help users to find relevant items in huge information spaces a personalized way. Several techniques have been investigated for development RS. them Swarm Intelligence (SI) techniques, which an emerging trend with various application areas. Although interest using Computational web personalization and retrieval fostered publication some survey papers, these surveys so far focused on different domains, e.g., clustering, or were too broadly incorporated only handful SI approaches. This study provides comprehensive review 77 research publications applying The focus five aspects we consider such: recommendation technique used, datasets evaluation methods adopted their experimental parts, baselines employed comparison proposed approaches reproducibility reported results. At end this review, discuss negative positive as well point out opportunities, challenges possible future directions. To best our knowledge, is most Therefore, believe will be material researchers interested either domains.

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