Improved covering-based collaborative filtering for new users’ personalized recommendations
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DOI: 10.1007/s10115-020-01455-2
Abstract: User-based collaborative filtering (UBCF) is widely used in recommender systems (RSs) as one of the most successful approaches, but traditional UBCF cannot provide recommendations with satisfactory accuracy and diversity simultaneously. Covering-based collaborative filtering (CBCF) is… read more here.
Keywords: collaborative filtering; covering based; personalized recommendations; new users ... See more keywords
Personalized vs non-personalized recommendations: how recommender systems, recommendation sources and recommendation platforms affect trial of YouTube videos among digital natives in Saudi Arabia
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DOI: 10.1108/jima-12-2020-0384
Abstract: Purpose This study aims to examine the difference between personalized and non-personalized recommendations in influencing YouTube users’ video choices. In addition, whether men and women have a significant difference in using recommendations was compared and… read more here.
Keywords: recommendation; recommendation sources; personalized recommendations; personalized non ... See more keywords
Enriching Remote Monitoring and Care Platforms with Personalized Recommendations to Enhance Gamification and Coaching.
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DOI: 10.3233/shti230129
Abstract: Patients' remote monitoring platforms can be enhanced with intelligent recommendations and gamification functionalities to support their adherence to care plans. The current paper aims to present a methodology for creating personalized recommendations, which can be… read more here.
Keywords: gamification; monitoring care; personalized recommendations; care platforms ... See more keywords