activity
20022013
most citedSolving the apparent diversity-accuracy dilemma of recommender systems

987 citations · 1.2k across the 9 of their papers we have counts for

collaborators

9 papers

physics.soc-ph2013★ 144 cited

Containing epidemic outbreaks by message-passing techniques

F. Altarelli, A. Braunstein, L. Dall'Asta +2

The problem of targeted network immunization can be defined as the one of finding a subset of nodes in a network to immunize or vaccinate in order to minimize a tradeoff between th…

cs.IR2010★ 4 cited

Building reputation systems for better ranking

Luo-Luo Jiang, Matus Medo, Joseph R. Wakeling +2

How to rank web pages, scientists and online resources has recently attracted increasing attention from both physicists and computer scientists. In this paper, we study the ranking…

physics.soc-ph2009★ 22 cited

Reducing the Heterogeneity of Payoffs: an Effective Way to Promote Cooperation in Prisoner's Dilemma Game

Luo-Luo Jiang, Ming Zhao, Han-Xin Yang +3

In this paper, the total payoff of each agent is regulated to reduce the heterogeneity of the distribution of the total payoffs. It is found there is an optimal regulation strength…

cs.IR2008★ 987 cited

Solving the apparent diversity-accuracy dilemma of recommender systems

Tao Zhou, Zoltan Kuscsik, Jian-Guo Liu +3

Recommender systems use data on past user preferences to predict possible future likes and interests. A key challenge is that while the most useful individual recommendations are t…

q-bio.NC2004★ 5 cited

Adaptivity and `Per learning'

Joseph Rushton Wakeling

One of the key points addressed by Per Bak in his models of brain function was that biological neural systems must be able not just to learn, but also to adapt--to quickly change t…

nlin.AO2003★ 17 cited

The Interactive Minority Game: a Web-based investigation of human market interactions

Paolo Laureti, Peter Ruch, Joseph Wakeling +1

The unprecedented access offered by the World Wide Web brings with it the potential to gather huge amounts of data on human activities. Here we exploit this by using a toy model of…