Collaborative filtering and kNN based recommendation to overcome cold start and sparsity issues: A comparative analysis

Collaborative Filtering (CF) has intrigued several researchers whose goal is to enhance Recommender System’s performance by mitigating their drawbacks. CF’s common idea is to recognize user’s preferences by considering their ratings given to the items. The best-known limitations of recommender syste...

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Veröffentlicht in:	Multimedia tools and applications 2022-10, Vol.81 (25), p.35693-35711
Hauptverfasser:	Anwar, Taushif, Uma, V., Hussain, Md. Imran, Pantula, Muralidhar
Format:	Artikel
Sprache:	eng
Schlagworte:	1179: Multimedia Software Engineering: Challenges and Opportunities Clustering Cold starts Collaboration Computer Communication Networks Computer Science Data Structures and Information Theory Filtration Multimedia Information Systems Performance prediction Recommender systems Similarity Sparsity Special Purpose and Application-Based Systems
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