On Sampling Strategies for Neural Network-based Collaborative Filtering-Reference-Cited by-同舟云学术

On Sampling Strategies for Neural Network-based Collaborative Filtering

Published:2017-08-13 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
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Author:

Chen Ting¹,Sun Yizhou¹,Shi Yue²,Hong Liangjie³

Affiliation:

1. University of California, Los Angeles, Los Angeles, CA, USA

2. Yahoo! Research, Sunnyvale, CA, USA

3. Etsy Inc., Brooklyn, NY, USA

Funder

NSF CAREER

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3097983.3098202

Reference39 articles.

1. Trapit Bansal David Belanger and Andrew McCallum. 2016. Ask the GRU: Multi-task Learning for Deep Text Recommendations. In RecSys'16. 107--114. Trapit Bansal David Belanger and Andrew McCallum. 2016. Ask the GRU: Multi-task Learning for Deep Text Recommendations. In RecSys'16. 107--114.

2. Large-Scale Machine Learning with Stochastic Gradient Descent

3. Ting Chen Liangjie Hong Yue Shi and Yizhou Sun. 2017. Joint Text Embedding for Personalized Content-based Recommendation. In arXiv preprint arXiv:1706.01084. Ting Chen Liangjie Hong Yue Shi and Yizhou Sun. 2017. Joint Text Embedding for Personalized Content-based Recommendation. In arXiv preprint arXiv:1706.01084.

4. Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification

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