Collaborative Filtering Recommendation Algorithm Based on Element-Wise Alternating Least Squares and Time Weight-Reference-Cited by-同舟云学术

Collaborative Filtering Recommendation Algorithm Based on Element-Wise Alternating Least Squares and Time Weight

Published:2019-07-31 Issue: Volume: Page:1245-1256
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Jianhua Shu,Dong Wang,Feng Xue

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-25128-4_156

Reference11 articles.

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3. He, X., Kan, M.Y., Xie, P., et al.: Comment-based multi-view clustering of web 2.0 items. In: Proceedings of the 23rd International Conference on World Wide Web, pp. 771–782. ACM (2014)

4. He, X., Zhang, H., Kan, M.Y., et al. Fast matrix factorization for online recommendation with implicit feedback. In: Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 549–558. ACM (2016)

5. Zhao, F., Guo, Y.: Learning discriminative recommendation systems with side information. In: Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, pp. 3469–3475 (2017)

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