224 citations · 1.7k across the 40 of their papers we have counts for
10 papers · 1 filter
Group-Buying Recommendation for Social E-Commerce
Jun Zhang, Chen Gao, Depeng Jin +1
Group buying, as an emerging form of purchase in social e-commerce websites, such as Pinduoduo, has recently achieved great success. In this new business model, users, initiator, c…
You Recommend, I Buy: How and Why People Engage in Instant Messaging Based Social Commerce
Hancheng Cao, Zhilong Chen, Mengjie Cheng +3
As an emerging business phenomenon especially in China, instant messaging (IM) based social commerce is growing increasingly popular, attracting hundreds of millions of users and i…
Understanding the Role of Intermediaries in Online Social E-commerce: An Exploratory Study of Beidian
Zhilong Chen, Hancheng Cao, Fengli Xu +3
Social e-commerce, as a new form of social computing based marketing platforms, utilizes existing real-world social relationships for promotions and sales of products. It has been…
Learning from Home: A Mixed-Methods Analysis of Live Streaming Based Remote Education Experience in Chinese Colleges During the COVID-19 Pandemic
Zhilong Chen, Hancheng Cao, Yuting Deng +5
The COVID-19 global pandemic and resulted lockdown policies have forced education in nearly every country to switch from a traditional co-located paradigm to a pure online 'distanc…
DeepNetQoE: Self-adaptive QoE Optimization Framework of Deep Networks
Rui Wang, Min Chen, Nadra Guizani +3
Future advances in deep learning and its impact on the development of artificial intelligence (AI) in all fields depends heavily on data size and computational power. Sacrificing m…
Disentangling User Interest and Conformity for Recommendation with Causal Embedding
Yu Zheng, Chen Gao, Xiang Li +3
Recommendation models are usually trained on observational interaction data. However, observational interaction data could result from users' conformity towards popular items, whic…
Bundle Recommendation with Graph Convolutional Networks
Jianxin Chang, Chen Gao, Xiangnan He +2
Bundle recommendation aims to recommend a bundle of items for a user to consume as a whole. Existing solutions integrate user-item interaction modeling into bundle recommendation b…
Urban Anomaly Analytics: Description, Detection, and Prediction
Mingyang Zhang, Tong Li, Yue Yu +3
Urban anomalies may result in loss of life or property if not handled properly. Automatically alerting anomalies in their early stage or even predicting anomalies before happening…
Price-aware Recommendation with Graph Convolutional Networks
Yu Zheng, Chen Gao, Xiangnan He +2
In recent years, much research effort on recommendation has been devoted to mining user behaviors, i.e., collaborative filtering, along with the general information which describes…
Edge Intelligence: Architectures, Challenges, and Applications
Dianlei Xu, Tong Li, Yong Li +5
Edge intelligence refers to a set of connected systems and devices for data collection, caching, processing, and analysis in locations close to where data is captured based on arti…