Mitigating sparsity using Bhattacharyya Coefficient and items’ categorical attributes: improving the performance of collaborative filtering based recommendation systems-Reference-Cited by-同舟云学术

Mitigating sparsity using Bhattacharyya Coefficient and items’ categorical attributes: improving the performance of collaborative filtering based recommendation systems

Published:2021-08-14 Issue: Volume: Page:
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Singh Pradeep Kumar,Pramanik Pijush Kanti Dutta,Choudhury Prasenjit

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-021-02462-8.pdf

Reference50 articles.

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3. Singh PK, KD Pramanik P, Debnath NC, Choudhury P (2019) A novel neighborhood calculation method by assessing users’ varying preferences in collaborative filtering. In: Proceedings of the 34th international conference on computers and their applications (CATA 2019), no. 58 in EPiC series in computing, Honolulu, Hawaii. https://doi.org/10.29007/3xfj, pp 345–355

4. Aggarwal CC (2016) Model-based collaborative filtering. In: Springer International Publishing, Cham, pp 71–138

5. Koren Y (2008) Factorization meets the neighborhood: a multifaceted collaborative filtering model. In: Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, pp 426–434

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