SEMI: A Sequential Multi-Modal Information Transfer Network for E-Commerce Micro-Video Recommendations-Reference-Cited by-同舟云学术

SEMI: A Sequential Multi-Modal Information Transfer Network for E-Commerce Micro-Video Recommendations

Published:2021-08-14 Issue: Volume: Page:
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Container-title:Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
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Author:

Lei Chenyi¹,Liu Yong²,Zhang Lingzi³,Wang Guoxin⁴,Tang Haihong⁵,Li Houqiang⁶,Miao Chunyan²

Affiliation:

1. University of Science and Technology of China & Alibaba Group, Hefei, China

2. Nanyang Technological University, Singapore, Singapore

3. Nanyang Technological University & Alibaba Group, Singapore, Singapore

4. Zhejiang University & Alibaba Group, Hangzhou, China

5. Alibaba Group, Hangzhou, China

6. University of Science and Technology of China, Hefei, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3447548.3467189

Reference39 articles.

1. Guangneng Hu andd Yu Zhng and Qiang Yang. 2018. CoNet: Collaborative Cross Networks for Cross-Domain Recommendation. In CIKM. ACM 667--676. Guangneng Hu andd Yu Zhng and Qiang Yang. 2018. CoNet: Collaborative Cross Networks for Cross-Domain Recommendation. In CIKM. ACM 667--676.

2. Shumeet Baluja Rohan Seth Dharshi Sivakumar Yushi Jing Jay Yagnik Shankar Kumar Deepak Ravichandran and Mohamed Aly. 2008. Video Suggestion and Discovery for Youtube: Taking Random Walks Through the View Graph. In WWW. ACM 895--904. Shumeet Baluja Rohan Seth Dharshi Sivakumar Yushi Jing Jay Yagnik Shankar Kumar Deepak Ravichandran and Mohamed Aly. 2008. Video Suggestion and Discovery for Youtube: Taking Random Walks Through the View Graph. In WWW. ACM 895--904.

3. Bisheng Chen Jingdong Wang Qinghua Huang and Tao Mei. 2012. Personalized Video Recommendation through Tripartite Graph Propagation. In MM. ACM 1133--1136. Bisheng Chen Jingdong Wang Qinghua Huang and Tao Mei. 2012. Personalized Video Recommendation through Tripartite Graph Propagation. In MM. ACM 1133--1136.

4. Jingyuan Chen Hanwang Zhang Xiangnan He Liqiang Nie Wei Liu and Tat-Seng Chua. 2017. Attentive collaborative filtering: Multimedia recommendation with item-and component-level attention. In SIGIR. ACM 335--344. Jingyuan Chen Hanwang Zhang Xiangnan He Liqiang Nie Wei Liu and Tat-Seng Chua. 2017. Attentive collaborative filtering: Multimedia recommendation with item-and component-level attention. In SIGIR. ACM 335--344.

5. Qiwei Chen Huan Zhao Wei Li Pipei Huang and Wenwu Ou. 2019 b. Behavior Sequence Transformer for E-Commerce Recommendation in Alibaba. In DLP-KDD. ACM 1--4. Qiwei Chen Huan Zhao Wei Li Pipei Huang and Wenwu Ou. 2019 b. Behavior Sequence Transformer for E-Commerce Recommendation in Alibaba. In DLP-KDD. ACM 1--4.

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