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04/10/2023
Delving into E-Commerce Product Retrieval with Vision-Language Pre-training
E-commerce search engines comprise a retrieval phase and a ranking phase...
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06/23/2022
Intelligent Request Strategy Design in Recommender System
Waterfall Recommender System (RS), a popular form of RS in mobile applic...
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02/12/2022
Modeling User Behavior with Graph Convolution for Personalized Product Search
User preference modeling is a vital yet challenging problem in personali...
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02/10/2022
IHGNN: Interactive Hypergraph Neural Network for Personalized Product Search
A good personalized product search (PPS) system should not only focus on...
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06/17/2021
Embedding-based Product Retrieval in Taobao Search
Nowadays, the product search service of e-commerce platforms has become ...
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04/20/2021
Hierarchically Modeling Micro and Macro Behaviors via Multi-Task Learning for Conversion Rate Prediction
Conversion Rate (CVR) prediction in modern industrial e-commerce platfor...
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10/24/2020
Unclicked User Behaviors Enhanced Sequential Recommendation
Deep learning-based sequential recommender systems have recently attract...
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08/13/2020
MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction
Click-through rate (CTR) prediction is a critical task for many industri...
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05/25/2020
ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation
Recommender system (RS) devotes to predicting user preference to a given...
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09/01/2019
SDM: Sequential Deep Matching Model for Online Large-scale Recommender System
Capturing users' precise preferences is a fundamental problem in large-s...
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05/16/2019
Deep Session Interest Network for Click-Through Rate Prediction
Click-Through Rate (CTR) prediction plays an important role in many indu...
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05/24/2018
