Similarity modifiers for enhancing the recommender system performance
Author:
Funder
King Khalid University
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-021-02900-7.pdf
Reference29 articles.
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2. Mohamed MH, Khafagy MH, Ibrahim MH (2019) Recommender systems challenges and solutions survey," in: Proceedings of 2019 International Conference on Innovative Trends in Computer Engineering (ITCE), pp. 149–155, https://doi.org/10.1109/ITCE.2019.8646645.
3. Bag S, Kumar SK, Tiwari MK (2019) An efficient recommendation generation using relevant Jaccard similarity. Inf Sci 483:53–64
4. Wang D, Yih Y, Ventresca M (2020) Improving neighbor-based collaborative filtering by using a hybrid similarity measurement. Expert Syst Appl, 160
5. Jain G, Mahara T, Tripathi KN (2020) A survey of similarity measures for collaborative filtering-based recommender system", in: Pant M., Sharma T., Verma O., Singla R., Sikander A. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 1053, Springer, Singapore. https://doi.org/10.1007/978-981-15-0751-9_32
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