449 citations · 1.6k across the 40 of their papers we have counts for
4 papers · 2 filters
Information filtering via hybridization of similarity preferential diffusion processes
An Zeng, Alexandre Vidmer, Matus Medo +1
The recommender system is one of the most promising ways to address the information overload problem in online systems. Based on the personal historical record, the recommender sys…
Information filtering in sparse online systems: recommendation via semi-local diffusion
Wei Zeng, An Zeng, Ming-Sheng Shang +1
With the rapid growth of the Internet and overwhelming amount of information and choices that people are confronted with, recommender systems have been developed to effectively sup…
Membership in social networks and the application in information filtering
Wei Zeng, An Zeng, Ming-Sheng Shang +1
During the past a few years, users' membership in the online system (i.e. the social groups that online users joined) are wildly investigated. Most of these works focus on the dete…
Extracting the information backbone in online system
Qian-Ming Zhang, An Zeng, Ming-Sheng Shang
Information overload is a serious problem in modern society and many solutions such as recommender system have been proposed to filter out irrelevant information. In the literature…