Identifying online user reputation in terms of user preference-Reference-Cited by-同舟云学术

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Identifying online user reputation in terms of user preference

Published:2018-03 Issue: Volume:494 Page:403-409
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:

Dai Lu,Guo Qiang,Liu Xiao-Lu,Liu Jian-Guo,Zhang Yi-Cheng

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Statistics and Probability

Reference26 articles.

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

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

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

4. Anchoring bias in online voting;Yang;Europhys. Lett.,2012

5. IoT-based collaborative reputation system for associating visitors and artworks in a cultural scenario;Cuomo;Expert Syst. Appl.,2017

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1. A robust ranking method for online rating systems with spammers by interval division;Expert Systems with Applications;2024-01

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. Identifying spreading influence nodes for social networks;Frontiers of Engineering Management;2022-08-31

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