Hybrid recommender system based on matrix factorization-Reference-Cited by-同舟云学术

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Hybrid recommender system based on matrix factorization

Published:2023 Issue: Volume: Page:
ISSN:0094-243X
Container-title:THE SECOND INTERNATIONAL SCIENTIFIC CONFERENCE (SISC2021): College of Science, Al-Nahrain University
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Author:

Reshak Kaiser A.,Dhannoon Ban N.,Sultani Zainab N.

Publisher

AIP Publishing

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0118335

Reference30 articles.

1. Hassan, A.K.A. and A.B.A. Abdulwahhab, The Proposed Collaborative Filtering Recommender System Based on Implicit and Explicit User's Preferences. Iraqi Journal of Science, 2018: p. 771–785.

2. Aggarwal, C.C., Recommender systems. 2016: Springer.

3. Reshak, K.A., B.N. Dhannoon, and Z.N. Sultani. Explicit feedback based movie recommendation system: A survey. in AIP Conference Proceedings. 2020. AIP Publishing LLC.

4. Hybrid Real-Time Matrix Factorization for Implicit Feedback Recommendation Systems

5. Deep Matrix Factorization With Implicit Feedback Embedding for Recommendation System

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1. A grasshopper optimization algorithm-based movie recommender system;Multimedia Tools and Applications;2023-12-01

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