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This paper introduces a simple and effective form of data augmentation for recommender systems.
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Justifying recommendations using distantly-labeled reviews and fine-grained aspects
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Joint deep modeling of users and items using reviews for recommendation
Lei Zheng, Vahid Noroozi, and Philip S. Yu · 2017
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Learning heterogeneous knowledge base embeddings for explainable recommendation
Qingyao Ai, Vahid Azizi, Xu Chen, and Yongfeng Zhang · 2018
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Neural attentional rating regression with review-level explanations
Chong Chen, Min Zhang, Yiqun Liu, and Shaoping Ma · 2018
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Bhuwan Dhingra, Christopher Shallue, Mohammad Norouzi, Andrew Dai, and George Dahl · 2018
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Poincare glove: Hyperbolic word embeddings
Alexandru Tifrea, Gary Becigneul, and Octavian-Eugen Ganea · 2019
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Multi-task feature learning for knowledge graph enhanced recommendation
Hongwei Wang, Fuzheng Zhang, Miao Zhao, Wenjie Li, Xing Xie, and Minyi Guo · 2019
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Enhancing collaborative filtering with generative augmentation
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Kgat: Knowledge graph attention network for recommendation
Xiang Wang, Xiangnan He, Yixin Cao, Meng Liu, and Tat-Seng Chua · 2019
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Beggars can’t be choosers: Augmenting sparse data for embedding-based product recommendations in retail stores
Matthias Wölbitsch, Simon Walk, Michael Goller, and Denis Helic · 2019
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Reinforcement knowledge graph reasoning for explainable recommendation
Yikun Xian, Zuohui Fu, S. Muthukrishnan, Gerard de Melo, and Yongfeng Zhang · 2019
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Relational collaborative filtering: Modeling multiple item relations for recommendation
Xin Xin, Xiangnan He, Yongfeng Zhang, Yongdong Zhang, and Joemon Jose · 2019
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Bayes embedding (bem): Refining representation by integrating knowledge graphs and behavior-specific networks
Yuting Ye, Xuwu Wang, Jiangchao Yao, Kunyang Jia, Jingren Zhou, Yanghua Xiao, and Hongxia Yang · 2019
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Quaternion knowledge graph embeddings
Shuai Zhang, Yi Tay, Lina Yao, and Qi Liu · 2019
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Shuai Zhang, Lina Yao, Aixin Sun, and Yi Tay · 2019
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A survey on knowledge graph-based recommender systems
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Hyperbolic knowledge graph embeddings for knowledge base completion
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A fully hyperbolic neural model for hierarchical multi-class classification
Federico López and Michael Strube · 2020
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What makes a review a reliable rating in recommender systems?
Dionisis Margaris, Costas Vassilakis, and Dimitris Spiliotopoulos · 2020
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How useful are reviews for recommendation? A critical review and potential improvements
Noveen Sachdeva and Julian McAuley · 2020
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Hyperml: A boosting metric learning approach in hyperbolic space for recommender systems
Lucas Vinh Tran, Yi Tay, Shuai Zhang, Gao Cong, and Xiaoli Li · 2020
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Symmetric spaces for graph embeddings: A finsler-riemannian approach
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