Heterogeneous Graph Learning for Personalized OCM

Author:

Guan Weili,Song Xuemeng,Chang Xiaojun,Nie Liqiang

Publisher

Springer International Publishing

Reference29 articles.

1. Xuemeng Song, Xianjing Han, Yunkai Li, Jingyuan Chen, Xin-Shun Xu, and Liqiang Nie. 2019. GP-BPR: Personalized Compatibility Modeling for Clothing Matching. In Proceedings of the ACM International Conference on Multimedia, 320–328. ACM.

2. Xingchen Li, Xiang Wang, Xiangnan He, Long Chen, Jun Xiao, and Tat-Seng Chua. 2020. Hierarchical Fashion Graph Network for Personalized Outfit Recommendation. In Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval, 159–168. ACM.

3. Dikshant Sagar, Jatin Garg, Prarthana Kansal, Sejal Bhalla, Rajiv Ratn Shah, and Yi Yu. 2020. PAI-BPR: Personalized Outfit Recommendation Scheme with Attribute-wise Interpretability. In IEEE International Conference on Multimedia Big Data, 221–230. IEEE.

4. Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017. Attention is All You Need. In Proceedings of the Advances in Neural Information Processing Systems, 5998–6008. NIPS.

5. Jian Tang, Meng Qu, Mingzhe Wang, Ming Zhang, Jun Yan, and Qiaozhu Mei. 2015. LINE: Large-Scale Information Network Embedding. In Proceedings of the World Wide Web Conference, 1067–1077. ACM.

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