36 citations · 55 across the 4 of their papers we have counts for
4 papers
Explainable Recommendation with Personalized Review Retrieval and Aspect Learning
Hao Cheng, Shuo Wang, Wensheng Lu +4
Explainable recommendation is a technique that combines prediction and generation tasks to produce more persuasive results. Among these tasks, textual generation demands large amou…
Unsupervised Recurrent Federated Learning for Edge Popularity Prediction in Privacy-Preserving Mobile Edge Computing Networks
Chong Zheng, Shengheng Liu, Yongming Huang +2
Nowadays wireless communication is rapidly reshaping entire industry sectors. In particular, mobile edge computing (MEC) as an enabling technology for industrial Internet of things…
A Practical Two-stage Ranking Framework for Cross-market Recommendation
Zeyuan Chen, He Wang, Xiangyu Zhu +5
Cross-market recommendation aims to recommend products to users in a resource-scarce target market by leveraging user behaviors from similar rich-resource markets, which is crucial…
MC-SF: Slow-Fast Learning for Mobile-Cloud Collaborative Recommendation
Zeyuan Chen, Jiangchao Yao, Feng Wang +4
With the hardware development of mobile devices, it is possible to build the recommendation models on the mobile side to utilize the fine-grained features and the real-time feedbac…