Recommender Systems: Techniques, Applications, and Challenges-Reference-Cited by-同舟云学术

Recommender Systems: Techniques, Applications, and Challenges

Published:2021-11-22 Issue: Volume: Page:1-35
ISSN:
Container-title:Recommender Systems Handbook
language:
Short-container-title:

Author:

Ricci Francesco,Rokach Lior,Shapira Bracha

Publisher

Springer US

Link

https://link.springer.com/content/pdf/10.1007/978-1-0716-2197-4_1

Reference73 articles.

1. G. Adomavicius, K. Bauman, B. Mobasher, F. Ricci, A. Tuzhilin, M. Unger, Workshop on context-aware recommender systems, in RecSys 2020: Fourteenth ACM Conference on Recommender Systems, Virtual Event, Brazil, September 22–26, 2020, ed. by R.L.T. Santos, L.B. Marinho, E.M. Daly, L. Chen, K. Falk, N. Koenigstein, E.S. de Moura (ACM, New York, 2020), pp. 635–637

2. G. Adomavicius, A. Tuzhilin, Personalization technologies: a process-oriented perspective. Commun. ACM 48(10), 83–90 (2005)

3. G. Adomavicius, A. Tuzhilin, Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Trans. Knowl. Data Eng. 17(6), 734–749 (2005)

4. C.C. Aggarwal, Recommender Systems - The Textbook (Springer, New York, 2016)

5. X. Amatriain, Mining large streams of user data for personalized recommendations. SIGKDD Explor. Newsl. 14(2), 37–48 (2013)

Cited by 41 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. CAERS-CF: enhancing convolutional autoencoder recommendations through collaborative filtering;Knowledge and Information Systems;2024-09-06

2. Assessing the impact of ethical aspects of recommendation systems on student trust and engagement in E-learning platforms: A multifaceted investigation;Education and Information Technologies;2024-08-26

3. Advising AI assistant: ethical risks of Oura smart ring;AI and Ethics;2024-08-19

4. LLM-generated Explanations for Recommender Systems;Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization;2024-06-27

5. Improving Recommender Systems with Large Language Models;Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization;2024-06-27