Search Results for author: Shiwen Wu

Found 3 papers, 2 papers with code

Contrastive Learning for Sequential Recommendation

1 code implementation • 27 Oct 2020 • Xu Xie, Fei Sun, Zhaoyang Liu, Shiwen Wu, Jinyang Gao, Bolin Ding, Bin Cui

Sequential recommendation methods play a crucial role in modern recommender systems because of their ability to capture a user's dynamic interest from her/his historical interactions.

Contrastive Learning Data Augmentation +1

Paper
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Graph Neural Networks in Recommender Systems: A Survey

1 code implementation • 4 Nov 2020 • Shiwen Wu, Fei Sun, Wentao Zhang, Xu Xie, Bin Cui

With the explosive growth of online information, recommender systems play a key role to alleviate such information overload.

Graph Representation Learning Recommendation Systems

251

Paper
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CausCF: Causal Collaborative Filtering for RecommendationEffect Estimation

no code implementations • 28 May 2021 • Xu Xie, Zhaoyang Liu, Shiwen Wu, Fei Sun, Cihang Liu, Jiawei Chen, Jinyang Gao, Bin Cui, Bolin Ding

It is based on the idea that similar users not only have a similar taste on items, but also have similar treatment effect under recommendations.

Collaborative Filtering Recommendation Systems

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