DCDIR: A Deep Cross-Domain Recommendation System for Cold Start Users in Insurance Domain-Reference-Cited by-同舟云学术

DCDIR: A Deep Cross-Domain Recommendation System for Cold Start Users in Insurance Domain

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

Bi Ye¹,Song Liqiang¹,Yao Mengqiu¹,Wu Zhenyu¹,Wang Jianming²,Xiao Jing²

Affiliation:

1. Ping An Technology Shenzhen Co., Ltd, Shanghai, China

2. Ping An Technology Shenzhen Co., Ltd, Shenzhen, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3397271.3401193

Reference14 articles.

1. X. He L. Liao H. Zhang L. Nie X. Hu and T. Chua. 2017. Neural Collaborative Filtering. In WWW. 173--182. X. He L. Liao H. Zhang L. Nie X. Hu and T. Chua. 2017. Neural Collaborative Filtering. In WWW. 173--182.

2. B. Hidasi A. Karatzoglou L. Baltrunas and D. Tikk. 2016. Session-based Recommendations with Recurrent Neural Networks. In ICLR. B. Hidasi A. Karatzoglou L. Baltrunas and D. Tikk. 2016. Session-based Recommendations with Recurrent Neural Networks. In ICLR.

3. S. K. Kang J. Hwang D. Lee and H. Yu. 2019. Semi-Supervised Learning for Cross-Domain Recommendation to Cold-Start Users. In CIKM. 1563--1572. S. K. Kang J. Hwang D. Lee and H. Yu. 2019. Semi-Supervised Learning for Cross-Domain Recommendation to Cold-Start Users. In CIKM. 1563--1572.

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