Graph Enhanced Representation Learning for News Recommendation-Reference-Cited by-同舟云学术

Graph Enhanced Representation Learning for News Recommendation

Published:2020-04-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of The Web Conference 2020
language:
Short-container-title:

Author:

Ge Suyu¹,Wu Chuhan¹,Wu Fangzhao²,Qi Tao¹,Huang Yongfeng³

Affiliation:

1. Tsinghua University

2. Microsoft

3. Department of Electronic Engineering; Tsinghua University

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3366423.3380050

Reference38 articles.

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2. Heng-Tze Cheng Levent Koc Jeremiah Harmsen Tal Shaked Tushar Chandra Hrishi Aradhye Glen Anderson Greg Corrado Wei Chai Mustafa Ispir 2016. Wide & deep learning for recommender systems. In DLRS. ACM 7–10. Heng-Tze Cheng Levent Koc Jeremiah Harmsen Tal Shaked Tushar Chandra Hrishi Aradhye Glen Anderson Greg Corrado Wei Chai Mustafa Ispir 2016. Wide & deep learning for recommender systems. In DLRS. ACM 7–10.

3. Merging trust in collaborative filtering to alleviate data sparsity and cold start

4. William L Hamilton Rex Ying and Jure Leskovec. 2017. Representation learning on graphs: Methods and applications. arXiv preprint arXiv:1709.05584(2017). William L Hamilton Rex Ying and Jure Leskovec. 2017. Representation learning on graphs: Methods and applications. arXiv preprint arXiv:1709.05584(2017).

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