A Mathematical Recommendation Model to Rank Reviewers Based on Weighted Score for Online Review System-Reference-Cited by-同舟云学术

A Mathematical Recommendation Model to Rank Reviewers Based on Weighted Score for Online Review System

Published:2021 Issue: Volume: Page:317-325
ISSN:2367-3370
Container-title:Emerging Technologies in Data Mining and Information Security
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Author:

Ganguli Runa,Banerjee Priyanka,Halder Sanjib,Sen Soumya

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-15-9774-9_31

Reference13 articles.

1. G. Maji, S. Mandal, N.C. Debnath, S. Sen, A novel delivery model to expand e-commerce customers based on telecom data mining, in Proceedings of 34th International Conference, vol. 58 (2019), pp. 336–344

2. R. Ganguli, A. Mehta, N.C. Debnath, S. Aljahdali, S. Sen, An integrated framework for friend recommender system using graph theoretic approach, in Proceedings of 35th International Conference, vol. 69 (2020), pp. 242–255

3. S. Ghosh, S. Roy, S. Sen, An efficient recommendation system on e-learning platform by query lattice optimization, in Springer 4th International Conference on Data Management, Analytics and Innovation (ICDMAI), New Delhi, India (17–19 Jan, 2020)

4. G. Wang, S. Xie, B. Liu, S.Y. Philip, Review graph based online store review spammer detection, in 2011 IEEE 11th International Conference on Data Mining. (IEEE, 2011), pp. 1242–1247

5. D. Shinzaki, K. Stuckman, R. Yates, Trust and helpfulness in amazon reviews (2013)

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