449 citations · 1.6k across the 40 of their papers we have counts for
7 papers · 1 filter
Network-based recommendation algorithms: A review
Fei Yu, An Zeng, Sebastien Gillard +1
Recommender systems are a vital tool that helps us to overcome the information overload problem. They are being used by most e-commerce web sites and attract the interest of a broa…
Modeling mutual feedback between users and recommender systems
An Zeng, Chi Ho Yeung, Matus Medo +1
Recommender systems daily influence our decisions on the Internet. While considerable attention has been given to issues such as recommendation accuracy and user privacy, the long-…
Towards an objective ranking in online reputation systems: the effect of the rating projection
Hao Liao, An Zeng, Yi-Cheng Zhang
Online reputation systems are commonly used by e-commerce providers nowadays. In order to generate an objective ranking of online items' quality according to users' ratings, many s…
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…