Enhancing the long-term performance of recommender system-Reference-Cited by-同舟云学术

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Enhancing the long-term performance of recommender system

Published:2019-10 Issue: Volume:531 Page:121731
ISSN:0378-4371
Container-title:Physica A: Statistical Mechanics and its Applications
language:en
Short-container-title:Physica A: Statistical Mechanics and its Applications

Author:

Xue Leyang,Zhang Peng,Zeng An

Funder

National Natural Science Foundation of China

Natural Science Foundation of Beijing, PR China

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Statistics and Probability

Reference39 articles.

1. Recommender systems;Lü;Phys. Rep.,2012

2. E-commerce recommendation applications;Schafer;Data Min. Knowl. Discov.,2001

3. Modeling mutual feedback between users and recommender systems;Zeng;J. Stat. Mech. Theory Exp.,2015

4. Recommendation in evolving online networks;Hu;Eur. Phys. J. B,2016

5. Amazon.com recommendations: item-to-item collaborative filtering;Linden;IEEE Internet Comput.,2003

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1. Improving the accuracy and diversity of personalized recommendation through a two-stage neighborhood selection;Information Technology and Management;2024-08-05

2. Recommender System in Academic Choices of Higher Education: A Systematic Review;IEEE Access;2024

3. Trust management in online computing environment: a complete review;Journal of Ambient Intelligence and Humanized Computing;2023-09-14

4. An initialization method for the latent vectors in probabilistic matrix factorization for sparse datasets;Evolutionary Intelligence;2019-10-05

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