2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.IR2024
BMLP: Behavior-aware MLP for Heterogeneous Sequential Recommendation
Weixin Li, Yuhao Wu, Yang Liu +2
In real recommendation scenarios, users often have different types of behaviors, such as clicking and buying. Existing research methods show that it is possible to capture the hete…
cs.LG2023★ 2 cited
Debiasing Recommendation by Learning Identifiable Latent Confounders
Qing Zhang, Xiaoying Zhang, Yang Liu +4
Recommendation systems aim to predict users' feedback on items not exposed to them. Confounding bias arises due to the presence of unmeasured variables (e.g., the socio-economic st…
cs.IR2022★ 1 cited
Some Practice for Improving the Search Results of E-commerce
Fanyou Wu, Yang Liu, Rado Gazo +2
In the Amazon KDD Cup 2022, we aim to apply natural language processing methods to improve the quality of search results that can significantly enhance user experience and engageme…