MVL: Multi-View Learning for News Recommendation-Reference-Cited by-同舟云学术

MVL: Multi-View Learning for News Recommendation

Published:2020-07-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Santosh T.Y.S.S¹,Saha Avirup¹,Ganguly Niloy¹

Affiliation:

1. IIT Kharagpur, Kharagpur, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3397271.3401294

Reference11 articles.

1. Neural News Recommendation with Long- and Short-term User Representations

2. The Adressa dataset for news recommendation

3. Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li and Xiuqiang He. 2017. DeepFM: a factorization-machine based neural network for CTR prediction. arXiv preprint arXiv:1703.04247(2017). Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li and Xiuqiang He. 2017. DeepFM: a factorization-machine based neural network for CTR prediction. arXiv preprint arXiv:1703.04247(2017).

4. Yoon Kim. 2014. Convolutional neural networks for sentence classification. arXiv preprint arXiv:1408.5882(2014). Yoon Kim. 2014. Convolutional neural networks for sentence classification. arXiv preprint arXiv:1408.5882(2014).

5. Embedding-based News Recommendation for Millions of Users

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