Ranking online quality and reputation via the user activity-Reference-Cited by-同舟云学术

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Ranking online quality and reputation via the user activity

Published:2015-10 Issue: Volume:436 Page:629-636
ISSN:0378-4371
Container-title:Physica A: Statistical Mechanics and its Applications
language:en
Short-container-title:Physica A: Statistical Mechanics and its Applications

Author:

Liu Xiao-Lu,Guo Qiang,Hou Lei,Cheng Can,Liu Jian-Guo

Funder

National Natural Science Foundation of China

Shanghai Municipal Natural Science Foundation

Foundation of Shanghai Research Institute of Publishing and Media

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Statistics and Probability

Reference21 articles.

1. Solving the apparent diversity–accuracy dilemma of recommender systems;Zhou;Proc. Natl. Acad. Sci. USA,2010

2. Social influence bias: a randomized experiment;Muchnik;Science,2013

3. Extracting the information backbone in online system;Zhang;PLoS One,2013

4. The effect of discrete vs. continuous-valued ratings on reputation and ranking systems;Medo;Europhys. Lett.,2010

5. A topic-biased user reputation model in rating systems;Li;Knowl. Inf. Syst.,2014

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2. Identifying Online User Reputation in Terms of Collective Rating Behaviors;Operations Research and Fuzziology;2024

3. A converging reputation ranking iteration method via the eigenvector;PLOS ONE;2022-10-03

4. Characterizing the reputation of evaluators using vectors in the object feature space;Expert Systems with Applications;2022-09

5. A robust reputation iterative algorithm based on Z-statistics in a rating system with thorny objects;Journal of the Operational Research Society;2022-07-25

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