Combining trust modeling and mechanism design for promoting honesty In e-marketplaces
In this paper, we propose a novel incentive mechanism for promoting honesty in electronic marketplaces that is based on trust modeling. In our mechanism, buyers model other buyers and select the most trustworthy ones as their neighbors to form a social network which can be used to ask advice about s...
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sg-ntu-dr.10356-967832020-05-28T07:17:22Z Combining trust modeling and mechanism design for promoting honesty In e-marketplaces Zhang, Jie Cohen, Robin Larson, Kate School of Computer Engineering DRNTU::Engineering::Computer science and engineering In this paper, we propose a novel incentive mechanism for promoting honesty in electronic marketplaces that is based on trust modeling. In our mechanism, buyers model other buyers and select the most trustworthy ones as their neighbors to form a social network which can be used to ask advice about sellers. In addition, however, sellers model the reputation of buyers based on the social network. Reputable buyers provide truthful ratings for sellers, and are likely to be neighbors of many other buyers. Sellers will provide more attractive products to reputable buyer to build their own reputation. We theoretically prove that a marketplace operating with our mechanism leads to greater profit both for honest buyers and honest sellers. We emphasize the value of our approach through a series of illustrative examples and in direct contrast to other frameworks for addressing agent trustworthiness. In all, we offer an effective approach for the design of e-marketplaces that is attractive to users, through its promotion of honesty. 2013-08-15T06:00:10Z 2019-12-06T19:35:03Z 2013-08-15T06:00:10Z 2019-12-06T19:35:03Z 2012 2012 Journal Article Zhang, J., Cohen, R.,& Larson, K. (2012). COMBINING TRUST MODELING AND MECHANISM DESIGN FOR PROMOTING HONESTY IN E-MARKETPLACES. Computational Intelligence, 28(4), 549-578. https://hdl.handle.net/10356/96783 http://hdl.handle.net/10220/13093 10.1111/j.1467-8640.2012.00428.x en Computational intelligence |
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DRNTU::Engineering::Computer science and engineering Zhang, Jie Cohen, Robin Larson, Kate Combining trust modeling and mechanism design for promoting honesty In e-marketplaces |
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In this paper, we propose a novel incentive mechanism for promoting honesty in electronic marketplaces that is based on trust modeling. In our mechanism, buyers model other buyers and select the most trustworthy ones as their neighbors to form a social network which can be used to ask advice about sellers. In addition, however, sellers model the reputation of buyers based on the social network. Reputable buyers provide truthful ratings for sellers, and are likely to be neighbors of many other buyers. Sellers will provide more attractive products to reputable buyer to build their own reputation. We theoretically prove that a marketplace operating with our mechanism leads to greater profit both for honest buyers and honest sellers. We emphasize the value of our approach through a series of illustrative examples and in direct contrast to other frameworks for addressing agent trustworthiness. In all, we offer an effective approach for the design of e-marketplaces that is attractive to users, through its promotion of honesty. |
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School of Computer Engineering |
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School of Computer Engineering Zhang, Jie Cohen, Robin Larson, Kate |
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Article |
author |
Zhang, Jie Cohen, Robin Larson, Kate |
author_sort |
Zhang, Jie |
title |
Combining trust modeling and mechanism design for promoting honesty In e-marketplaces |
title_short |
Combining trust modeling and mechanism design for promoting honesty In e-marketplaces |
title_full |
Combining trust modeling and mechanism design for promoting honesty In e-marketplaces |
title_fullStr |
Combining trust modeling and mechanism design for promoting honesty In e-marketplaces |
title_full_unstemmed |
Combining trust modeling and mechanism design for promoting honesty In e-marketplaces |
title_sort |
combining trust modeling and mechanism design for promoting honesty in e-marketplaces |
publishDate |
2013 |
url |
https://hdl.handle.net/10356/96783 http://hdl.handle.net/10220/13093 |
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1681056833495629824 |