ICLUB: An integrated clustering-based approach to improve the robustness of reputation systems

Siyuan Liu; Jie Zhang; Chunyan Miao; Yin Leng Theng; Alex C. Kot

ICLUB: An integrated clustering-based approach to improve the robustness of reputation systems

Siyuan Liu, Jie Zhang, Chunyan Miao, Yin Leng Theng, Alex C. Kot

Research output: Contribution to conference › Paper › peer-review

46 Citations (Scopus)

Abstract

The problem of unfair testimonies has to be addressed effectively to improve the robustness of reputation systems. We propose an integrated CLUstering-Based approach called iCLUB to filter unfair testimonies for reputation systems using multi-nominal testimonies, in multiagent-based electronic commerce. It adopts clustering and considers buying agents' local and global knowledge about selling agents. Experimental evaluation demonstrates promising results of our approach in filtering various types of unfair testimonies.

Original language	English
Pages	1083-1084
Number of pages	2
Publication status	Published - 2011
Externally published	Yes
Event	10th International Conference on Autonomous Agents and Multiagent Systems 2011, AAMAS 2011 - Taipei, Taiwan, Province of China Duration: May 2 2011 → May 6 2011

Conference

Conference	10th International Conference on Autonomous Agents and Multiagent Systems 2011, AAMAS 2011
Country/Territory	Taiwan, Province of China
City	Taipei
Period	5/2/11 → 5/6/11

ASJC Scopus Subject Areas

Artificial Intelligence

Keywords

Clustering
Reputation System
Unfair Testimony

Cite this

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title = "ICLUB: An integrated clustering-based approach to improve the robustness of reputation systems",

abstract = "The problem of unfair testimonies has to be addressed effectively to improve the robustness of reputation systems. We propose an integrated CLUstering-Based approach called iCLUB to filter unfair testimonies for reputation systems using multi-nominal testimonies, in multiagent-based electronic commerce. It adopts clustering and considers buying agents' local and global knowledge about selling agents. Experimental evaluation demonstrates promising results of our approach in filtering various types of unfair testimonies.",

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note = "10th International Conference on Autonomous Agents and Multiagent Systems 2011, AAMAS 2011 ; Conference date: 02-05-2011 Through 06-05-2011",

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ICLUB: An integrated clustering-based approach to improve the robustness of reputation systems. / Liu, Siyuan; Zhang, Jie; Miao, Chunyan et al.
2011. 1083-1084 Paper presented at 10th International Conference on Autonomous Agents and Multiagent Systems 2011, AAMAS 2011, Taipei, Taiwan, Province of China.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - ICLUB

T2 - 10th International Conference on Autonomous Agents and Multiagent Systems 2011, AAMAS 2011

AU - Liu, Siyuan

AU - Zhang, Jie

AU - Miao, Chunyan

AU - Theng, Yin Leng

AU - Kot, Alex C.

PY - 2011

Y1 - 2011

N2 - The problem of unfair testimonies has to be addressed effectively to improve the robustness of reputation systems. We propose an integrated CLUstering-Based approach called iCLUB to filter unfair testimonies for reputation systems using multi-nominal testimonies, in multiagent-based electronic commerce. It adopts clustering and considers buying agents' local and global knowledge about selling agents. Experimental evaluation demonstrates promising results of our approach in filtering various types of unfair testimonies.

AB - The problem of unfair testimonies has to be addressed effectively to improve the robustness of reputation systems. We propose an integrated CLUstering-Based approach called iCLUB to filter unfair testimonies for reputation systems using multi-nominal testimonies, in multiagent-based electronic commerce. It adopts clustering and considers buying agents' local and global knowledge about selling agents. Experimental evaluation demonstrates promising results of our approach in filtering various types of unfair testimonies.

KW - Clustering

KW - Reputation System

KW - Unfair Testimony

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M3 - Paper

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EP - 1084

Y2 - 2 May 2011 through 6 May 2011

ER -

ICLUB: An integrated clustering-based approach to improve the robustness of reputation systems

Abstract

Conference

ASJC Scopus Subject Areas

Keywords

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