Search Results for author: Guli Lin

Found 4 papers, 3 papers with code

Modeling User Behavior with Graph Convolution for Personalized Product Search

1 code implementation12 Feb 2022 Fan Lu, Qimai Li, Bo Liu, Xiao-Ming Wu, Xiaotong Zhang, Fuyu Lv, Guli Lin, Sen Li, Taiwei Jin, Keping Yang

Our approach can be seamlessly integrated with existing latent space based methods and be potentially applied in any product retrieval method that uses purchase history to model user preferences.

Learning Semantic Representations

Embedding-based Product Retrieval in Taobao Search

no code implementations17 Jun 2021 Sen Li, Fuyu Lv, Taiwei Jin, Guli Lin, Keping Yang, Xiaoyi Zeng, Xiao-Ming Wu, Qianli Ma

We evaluate MGDSPR on Taobao Product Search with significant metrics gains observed in offline experiments and online A/B tests.

AutoDebias: Learning to Debias for Recommendation

1 code implementation10 May 2021 Jiawei Chen, Hande Dong, Yang Qiu, Xiangnan He, Xin Xin, Liang Chen, Guli Lin, Keping Yang

This provides a valuable opportunity to develop a universal solution for debiasing, e. g., by learning the debiasing parameters from data.

Imputation Meta-Learning +1

M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems

1 code implementation20 May 2020 Menghan Wang, Yujie Lin, Guli Lin, Keping Yang, Xiao-Ming Wu

Most existing methods can be categorized as \emph{multi-view representation fusion}; they first build one graph and then integrate multi-view data into a single compact representation for each node in the graph.

Graph Representation Learning Inductive Bias +2

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