39 citations · 138 across the 9 of their papers we have counts for
9 papers
Regional economic status inference from information flow and talent mobility
Jun Wang, Jian Gao, Jin-Hu Liu +2
Novel data has been leveraged to estimate socioeconomic status in a timely manner, however, direct comparison on the use of social relations and talent movements remains rare. In t…
Human migration patterns in large scale spatial with the resume data
Qi Nie, Jian-Jun Wu, Xiao-Yong Yan +2
Researches on the human mobility have made great progress in many aspects, but the long-term and long-distance migration behavior is lack of in-depth and extensive research because…
Graph Clustering with Density-Cut
Junming Shao, Qinli Yang, Jinhu Liu +1
How can we find a good graph clustering of a real-world network, that allows insight into its underlying structure and also potential functions? In this paper, we introduce a new g…
Improving personalized link prediction by hybrid diffusion
Jin-Hu Liu, Yu-Xiao Zhu, Tao Zhou
Inspired by traditional link prediction and to solve the problem of recommending friends in social networks, we introduce the personalized link prediction in this paper, in which e…
A vertex similarity index for better personalized recommendation
Ling-Jiao Chen, Zi-Ke Zhang, Jin-Hu Liu +2
Recommender systems benefit us in tackling the problem of information overload by predicting our potential choices among diverse niche objects. So far, a variety of personalized re…
Online Social Activity Reflects Economic Status
Jin-Hu Liu, Jun Wang, Junming Shao +1
To characterize economic development and diagnose the economic health condition, several popular indices such as gross domestic product (GDP), industrial structure and income growt…
Promoting cold-start items in recommender systems
Jin-Hu Liu, Tao Zhou, Zi-Ke Zhang +3
As one of major challenges, cold-start problem plagues nearly all recommender systems. In particular, new items will be overlooked, impeding the development of new products online.…
Gravity Effects on Information Filtering and Network Evolving
Jin-Hu Liu, Zi-Ke Zhang, Chengcheng Yang +3
In this paper, based on the gravity principle of classical physics, we propose a tunable gravity-based model, which considers tag usage pattern to weigh both the mass and distance…
A two-step Recommendation Algorithm via Iterative Local Least Squares
Jinhu Liu, Chengcheng Yang, Zi-Ke Zhang
Recommender systems can change our life a lot and help us select suitable and favorite items much more conveniently and easily. As a consequence, various kinds of algorithms have b…