Incremental Matrix Co-factorization for Recommender Systems with Implicit Feedback-Reference-Cited by-同舟云学术

Incremental Matrix Co-factorization for Recommender Systems with Implicit Feedback

Published:2018 Issue: Volume: Page:
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Container-title:Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18
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Author:

Anyosa Susan C.¹,Vinagre João²,Jorge Alípio M.²

Affiliation:

1. LIAAD - INESC TEC, Porto, Portugal

2. LIAAD - INESC TEC; FCUP, University of Porto, Porto, Portugal

Funder

European Regional Development Fund (ERDF)

Portuguese Foundation for Science and Technology (FCT)

Publisher

ACM Press

Reference30 articles.

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3. Badrish Chandramouli, Justin J Levandoski, Ahmed Eldawy, and Mohamed F Mokbel. 2011. StreamRec: a real-time recommender system. In Proceedings of the 2011 ACM SIGMOD International Conference on Management of data. ACM, 1243--1246.

4. Tianqi Chen, Zhao Zheng, Qiuxia Lu, Weinan Zhang, and Yong Yu. 2011. Feature-based matrix factorization. Technical Report. Apex Data & Knowledge Managment Lab, Shanghai Jiao Tong University.

5. Marcos Aurélio Domingues, Al'ıpio Mário Jorge, and Carlos Soares. 2013. Dimensions as virtual items: Improving the predictive ability of top-n recommender systems. Information Processing & Management Vol. 49, 3 (2013), 698--720.

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