Enhancing group recommender systems: A fusion of social tagging and collaborative filtering for cohesive recommendations
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DOI: 10.1002/sres.3000
Abstract: This study examines the challenges and opportunities of using group recommendation systems in an information overload scenario. Social network recommendation systems are increasingly important because they deliver users customized choices. Most existing solutions are geared… read more here.
Keywords: recommendation systems; group; group recommendation; enhancing group ... See more keywords
A survey on group recommender systems
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DOI: 10.1007/s10844-018-0542-3
Abstract: Recommender systems are increasingly used in various domains like movies, travel, music, etc. The rise in social activities has increased the usage of recommender systems in general and group recommender systems in particular. A group… read more here.
Keywords: systems survey; group recommender; recommender systems; group ... See more keywords
Evolutionary learning approach to multi-agent negotiation for group recommender systems
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DOI: 10.1007/s11042-018-6984-3
Abstract: Recommender systems (RSs) have emerged as a solution to the information overload problem by filtering and presenting the users with information, services etc. according to their preferences. RSs research has focused on algorithms for recommending… read more here.
Keywords: group; multi agent; group recommender; recommender systems ... See more keywords
A hybrid group-based movie recommendation framework with overlapping memberships
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DOI: 10.1371/journal.pone.0266103
Abstract: Recommender Systems (RS) are widely used to help people or group of people in finding their required information amid the issue of ever-growing information overload. The existing group recommender approaches consider users to be part… read more here.
Keywords: hybrid group; group recommender; framework; group ... See more keywords