Learning Intents behind Interactions with Knowledge Graph for Recommendation-Reference-Cited by-同舟云学术

Learning Intents behind Interactions with Knowledge Graph for Recommendation

Published:2021-04-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Web Conference 2021
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Author:

Wang Xiang¹,Huang Tinglin²,Wang Dingxian³,Yuan Yancheng⁴,Liu Zhenguang⁵,He Xiangnan⁶,Chua Tat-Seng¹

Affiliation:

1. National University of Singapore, Singapore

2. Zhejiang University, China

3. eBay, USA

4. The Hong Kong Polytechnic University, Hong Kong

5. Zhejiang Gongshang University, China

6. University of Science and Technology of China, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3442381.3450133

Reference53 articles.

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3. Antoine Bordes Nicolas Usunier Alberto García-Durán Jason Weston and Oksana Yakhnenko. 2013. Translating Embeddings for Modeling Multi-relational Data. In NeurIPS. 2787–2795. Antoine Bordes Nicolas Usunier Alberto García-Durán Jason Weston and Oksana Yakhnenko. 2013. Translating Embeddings for Modeling Multi-relational Data. In NeurIPS. 2787–2795.

4. Yixin Cao Xiang Wang Xiangnan He Zikun Hu and Tat-Seng Chua. 2019. Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences. In WWW. 151–161. Yixin Cao Xiang Wang Xiangnan He Zikun Hu and Tat-Seng Chua. 2019. Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences. In WWW. 151–161.

5. Rose Catherine and William W. Cohen. 2016. Personalized Recommendations using Knowledge Graphs: A Probabilistic Logic Programming Approach. In RecSys. 325–332. Rose Catherine and William W. Cohen. 2016. Personalized Recommendations using Knowledge Graphs: A Probabilistic Logic Programming Approach. In RecSys. 325–332.

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