M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems

Author:

Wang Menghan1,Lin Yujie1,Lin Guli1,Yang Keping1,Wu Xiao-ming2

Affiliation:

1. Alibaba Group, Hangzhou, China

2. Hong Kong Polytechnic University, Hong Kong, Hong Kong

Publisher

ACM

Reference27 articles.

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2. Paul Covington Jay Adams and Emre Sargin. 2016. Deep neural networks for youtube recommendations. In Recsys. ACM 191--198. Paul Covington Jay Adams and Emre Sargin. 2016. Deep neural networks for youtube recommendations. In Recsys. ACM 191--198.

3. Yuxiao Dong Nitesh V Chawla and Ananthram Swami. 2017. metapath2vec: Scalable representation learning for heterogeneous networks. In SIGKDD. ACM 135--144. Yuxiao Dong Nitesh V Chawla and Ananthram Swami. 2017. metapath2vec: Scalable representation learning for heterogeneous networks. In SIGKDD. ACM 135--144.

4. Ali Mamdouh Elkahky Yang Song and Xiaodong He. 2015. A multi-view deep learning approach for cross domain user modeling in recommendation systems. In WWW. 278--288. Ali Mamdouh Elkahky Yang Song and Xiaodong He. 2015. A multi-view deep learning approach for cross domain user modeling in recommendation systems. In WWW. 278--288.

5. Joan Bruna Estrach Wojciech Zaremba Arthur Szlam and Yann LeCun. 2014. Spectral networks and deep locally connected networks on graphs. In ICLR . Joan Bruna Estrach Wojciech Zaremba Arthur Szlam and Yann LeCun. 2014. Spectral networks and deep locally connected networks on graphs. In ICLR .

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