Enhancing User Interest Modeling with Knowledge-Enriched Itemsets for Sequential Recommendation-Reference-Cited by-同舟云学术

Enhancing User Interest Modeling with Knowledge-Enriched Itemsets for Sequential Recommendation

Published:2021-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Information & Knowledge Management
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Author:

Wang Chunyang¹,Zhu Yanmin¹,Liu Haobing¹,Ma Wenze¹,Zang Tianzi¹,Yu Jiadi¹

Affiliation:

1. Shanghai Jiao Tong University, Shanghai, China

Funder

the Program for Changjiang Young Scholars in University of China

the Program for Shanghai Top Young Talents

the 2030 National Key AI Program of China 2018AAA0100503

National Science Foundation of China

Shanghai Municipal Science and Technology Commission

the Oceanic Interdisciplinary Program of Shanghai Jiao Tong University

Scientific Research Fund of Second Institute of Oceanography

the Program for China Top Young Talents

SJTU Global Strategic Partnership Fund

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3459637.3482256

Reference47 articles.

1. Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. In NIPS. 1--9. Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. In NIPS. 1--9.

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