activity
20182026
most citedDeep Subdomain Adaptation Network for Image Classification

1.2k citations · 2.8k across the 60 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cs.CL2020★ 20 cited

E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce

Denghui Zhang, Zixuan Yuan, Yanchi Liu +3

Pre-trained language models such as BERT have achieved great success in a broad range of natural language processing tasks. However, BERT cannot well support E-commerce related tas…

cs.SE2020★ 7 cited

Intelligent Exploration for User Interface Modules of Mobile App with Collective Learning

Jingbo Zhou, Zhenwei Tang, Min Zhao +6

A mobile app interface usually consists of a set of user interface modules. How to properly design these user interface modules is vital to achieving user satisfaction for a mobile…

cs.LG2020★ 4 cited

Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection

Dongbo Xi, Bowen Song, Fuzhen Zhuang +5

With the explosive growth of e-commerce, online transaction fraud has become one of the biggest challenges for e-commerce platforms. The historical behaviors of users provide rich…

cs.IR2020★ 5 cited

Graph Factorization Machines for Cross-Domain Recommendation

Dongbo Xi, Fuzhen Zhuang, Yongchun Zhu +3

Recently, graph neural networks (GNNs) have been successfully applied to recommender systems. In recommender systems, the user's feedback behavior on an item is usually the result…

cs.LG2020★ 8 cited

Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems

Jingjing Gu, Qiang Zhou, Jingyuan Yang +4

Unlike the traditional dock-based systems, dockless bike-sharing systems are more convenient for users in terms of flexibility. However, the flexibility of these dockless systems c…

cs.IR2020★ 25 cited

A Survey on Knowledge Graph-Based Recommender Systems

Qingyu Guo, Fuzhen Zhuang, Chuan Qin +4

To solve the information explosion problem and enhance user experience in various online applications, recommender systems have been developed to model users preferences. Although…