A Trust Valuation Model Based on Game Theory in Social Network

DOI

10.2991/mmebc-16.2016.248How to use a DOI?

Keywords

Game Theory, Feedback Mechanisms, Authority Value, Trust Valuation.

Abstract

In order to solve malicious evaluation problems in evaluation model, this paper proposes an improved evaluation model with feed incentive based on game theory. The model introduces user's authority into the recommendation system based on content, which can adjust feedback function dynamically accompany with evaluation. Some related experiments show that the recommendation method can stimulate users to improve their own trust value, and implement accurately increase of the content trust value.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xianqin Li
AU  - Suming Li
PY  - 2016/06
DA  - 2016/06
TI  - A Trust Valuation Model Based on Game Theory in Social Network
BT  - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
PB  - Atlantis Press
SP  - 1219
EP  - 1222
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmebc-16.2016.248
DO  - 10.2991/mmebc-16.2016.248
ID  - Li2016/06
ER  -