Collaborative filtering recommendation system based on improved Jaccard similarity
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-023-04647-0.pdf
Reference33 articles.
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2. Ayub M, Ghazanfar MA, Khan T, Saleem A (2020) An effective model for Jaccard coefficient to increase the performance of collaborative filtering. Arab J Sci Eng 45(12):9997–10017
3. Ayub M, Ghazanfar MA, Mehmood Z, Alyoubi KH, Alfakeeh AS (2020) Unifying user similarity and social trust to generate powerful recommendations for smart cities using collaborating filtering-based recommender systems. Soft Comput 24:11,071-11,094
4. Bag S, Kumar SK, Tiwari MK (2019) An efficient recommendation generation using relevant Jaccard similarity. Inform Sci 483:53–64
5. Batmaz Z, Yurekli A, Bilge A, Kaleli C (2019) A review on deep learning for recommender systems: challenges and remedies. Artif Intell Rev 52(1):1–37
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