A Hybrid Recommender System for Steam Games-Reference-Cited by-同舟云学术

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A Hybrid Recommender System for Steam Games

Published:2020 Issue: Volume: Page:133-144
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
Short-container-title:

Author:

Gong Jin,Ye Yizhou,Stefanidis Kostas

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-44900-1_9

Reference29 articles.

1. Official team fortress wiki. https://wiki.teamfortress.com/wiki/ . Accessed 11 Apr 2019

2. Balabanovic, M., Shoham, Y.: Content-based, collaborative recommendation. Commun. ACM 40(3), 66–72 (1997)

3. Borges, R., Stefanidis, K.: Enhancing long term fairness in recommendations with variational autoencoders. In: Proceedings of the 11th International Conference on Management of Digital EcoSystems, MEDES 2019 (2019)

4. Bridge, D.G., Göker, M.H., McGinty, L., Smyth, B.: Case-based recommender systems. Knowl. Eng. Rev. 20(3), 315–320 (2005)

5. Covington, P., Adams, J., Sargin, E.: Deep neural networks for YouTube recommendations. In: Proceedings of the 10th ACM Conference on Recommender Systems, pp. 191–198. ACM (2016)

Cited by 2 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. Games Recommender System Using Singular Value Decomposition;2023 3rd International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA);2023-12-13

2. Predicting Steam Games Rating with Regression;E3S Web of Conferences;2023

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