activity
20122022
most citedDMFSGD: A Decentralized Matrix Factorization Algorithm for Network Distance Prediction

82 citations · 85 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2022★ 2 cited

Look Around! A Neighbor Relation Graph Learning Framework for Real Estate Appraisal

Chih-Chia Li, Wei-Yao Wang, Wei-Wei Du +1

Real estate appraisal is a crucial issue for urban applications, which aims to value the properties on the market. Traditional methods perform appraisal based on the domain knowled…

cs.CL2022

Compressing Cross-Lingual Multi-Task Models at Qualtrics

Daniel Campos, Daniel Perry, Samir Joshi +4

Experience management is an emerging business area where organizations focus on understanding the feedback of customers and employees in order to improve their end-to-end experienc…

cs.IR2022

Track2Vec: fairness music recommendation with a GPU-free customizable-driven framework

Wei-Wei Du, Wei-Yao Wang, Wen-Chih Peng

Recommendation systems have illustrated the significant progress made in characterizing users' preferences based on their past behaviors. Despite the effectiveness of recommending…

cs.SI2017

Prepaid or Postpaid? That is the question. Novel Methods of Subscription Type Prediction in Mobile Phone Services

Yongjun Liao, Wei Du, Márton Karsai +3

In this paper we investigate the behavioural differences between mobile phone customers with prepaid and postpaid subscriptions. Our study reveals that (a) postpaid customers are m…

cs.NI2012★ 1 cited

Ordinal Rating of Network Performance and Inference by Matrix Completion

Wei Du, Yongjun Liao, and Pierre Geurts +1

This paper addresses the large-scale acquisition of end-to-end network performance. We made two distinct contributions: ordinal rating of network performance and inference by matri…

cs.NI2012★ 82 cited

DMFSGD: A Decentralized Matrix Factorization Algorithm for Network Distance Prediction

Yongjun Liao, Wei Du, Pierre Geurts +1

The knowledge of end-to-end network distances is essential to many Internet applications. As active probing of all pairwise distances is infeasible in large-scale networks, a natur…