Explainable Interaction-driven User Modeling over Knowledge Graph for Sequential Recommendation-Reference-Cited by-同舟云学术

Explainable Interaction-driven User Modeling over Knowledge Graph for Sequential Recommendation

Published:2019-10-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 27th ACM International Conference on Multimedia
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Author:

Huang Xiaowen¹,Fang Quan¹,Qian Shengsheng¹,Sang Jitao²,Li Yan³,Xu Changsheng⁴

Affiliation:

1. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China

2. Beijing Jiaotong University & Peng Cheng Laboratory, Beijing, China

3. Kuaishou Technology, Beijing, China

4. Chinese Academy of Sciences, University of Chinese Academy of Sciences, & Peng Cheng Laboratory, Beijing, China

Funder

the National Key Research and Development Program of China

the National Natural Science Foundation of China under Grants

the K.C.Wong Education Foundation

the Key Research Program of Frontier Sciences CAS Grant

the Beijing Municipal Science & Technology Commission

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3343031.3350893

Reference33 articles.

1. Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. In Advances in neural information processing systems. 2787--2795. Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. In Advances in neural information processing systems. 2787--2795.

2. Where You Like to Go Next: Successive Point-of-Interest Recommendation;Cheng Chen;IJCAI,2013

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