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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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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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05/10/2021
AutoDebias: Learning to Debias for Recommendation
Recommender systems rely on user behavior data like ratings and clicks t...
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02/14/2021
Learning a Product Relevance Model from Click-Through Data in E-Commerce
The search engine plays a fundamental role in online e-commerce systems,...
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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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05/20/2020
M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems
Combining graph representation learning with multi-view data (side infor...
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03/30/2020
AliCoCo: Alibaba E-commerce Cognitive Concept Net
One of the ultimate goals of e-commerce platforms is to satisfy various ...
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12/12/2019
Tracing the Propagation Path: A Flow Perspective of Representation Learning on Graphs
Graph Convolutional Networks (GCNs) have gained significant developments...
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10/16/2019
A Causal Perspective to Unbiased Conversion Rate Estimation on Data Missing Not at Random
In modern e-commerce and advertising recommender systems, ongoing resear...
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10/15/2019
Conversion Rate Prediction via Post-Click Behaviour Modeling
Effective and efficient recommendation is crucial for modern e-commerce ...
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10/08/2019
Conceptualize and Infer User Needs in E-commerce
Understanding latent user needs beneath shopping behaviors is critical t...
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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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06/27/2019
User Validation of Recommendation Serendipity Metrics
Though it has been recognized that recommending serendipitous (i.e., sur...
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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