Search Results for author: Taiwei Jin

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 Retrieval

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.

Open-Ended Question Answering Retrieval

XDM: Improving Sequential Deep Matching with Unclicked User Behaviors for Recommender System

1 code implementation24 Oct 2020 Fuyu Lv, Mengxue Li, Tonglei Guo, Changlong Yu, Fei Sun, Taiwei Jin, Wilfred Ng

The offline experimental results based on real-world E-commerce data demonstrate the effectiveness and verify the importance of unclicked items in sequential recommendation.

Metric Learning Retrieval +1

SDM: Sequential Deep Matching Model for Online Large-scale Recommender System

2 code implementations1 Sep 2019 Fuyu Lv, Taiwei Jin, Changlong Yu, Fei Sun, Quan Lin, Keping Yang, Wilfred Ng

In this paper, we propose a new sequential deep matching (SDM) model to capture users' dynamic preferences by combining short-term sessions and long-term behaviors.

Collaborative Filtering Recommendation Systems

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