Four-dimensional trust propagation model for improving the accuracy of recommender systems
Author:
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s11227-023-05278-0.pdf
Reference87 articles.
1. del CarmenRodríguez-Hernández M, Ilarri S (2021) AI-based mobile context-aware recommender systems from an information management perspective: progress and directions. Knowl-Based Syst 215:106740
2. Musto C, et al (2017) A multi-criteria recommender system exploiting aspect-based sentiment analysis of users’ reviews. In: Proceedings of the Eleventh ACM Conference on Recommender Systems
3. Alhijawi B, Awajan A, Fraihat S (2022) Survey on the objectives of recommender systems: measures, solutions, evaluation methodology, and new perspectives. ACM Comput Surveys 55(5):1–38
4. Yao L et al (2019) Synergies between association rules and collaborative filtering in recommender system: an application to auto industry. Data science and digital business. Springer, Berlin, pp 65–80
5. Rubens N et al (2015) Active learning in recommender systems. Recommender systems handbook. Springer, Berlin, pp 809–846
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