Improving the accuracy and diversity of personalized recommendation through a two-stage neighborhood selection
Author:
Funder
National Natural Science Foundation of China
Chinese Ministry of Education of Humanities and Social Science Fund
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10799-024-00433-2.pdf
Reference38 articles.
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3. Hurley N, Zhang M (2011) Novelty and diversity in top-n recommendation analysis and evaluation. ACM Trans Internet Technol. 10(4):1–30
4. Bobadilla J, Ortega F, Hernando A, Gutiérrez A (2013) Recommender systems survey. Knowl Based syst. 46:109–132
5. Ekstrand MD, Riedl JT, Konstan JA et al (2011) Collaborative filtering recommender systems. Found. Trends Hum. Comput. Interact. 4(2):81–173
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