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Results 1 - 10
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524
Filtering Out Unfair Ratings in Bayesian Reputation Systems
, 2004
"... The quality of a reputation system depends on the integrity of the ratings it receives as input. A fundamental problem is that a rater can rate an agent more positively or more negatively than the real experience with the agent would dictate. When ratings are provided by agents outside the control o ..."
Abstract
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Cited by 116 (0 self)
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of the relying party, it is a priori impossible to know when a rater provides such unfair ratings. However, it is often the case that unfair ratings have a different statistical pattern than fair ratings. This paper uses that idea, and describes a statistical filtering technique for excluding unfair ratings
Trusting advice from other buyers in emarketplaces: the problem of unfair ratings
- In 8th International Conference on Electronic Commerce: The new e-commerce - Innovations for Conquering Current Barriers, Obstacles and Limitations to Conducting Successful Business on the Internet
, 2006
"... In electronic marketplaces populated by self-interested agents, buyer agents would benefit by modeling the reputation of seller agents, in order to make effective decisions about which agents to trust. One method for representing reputation is to ask other agents in the system (called advisor agents ..."
Abstract
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Cited by 25 (8 self)
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agents) to provide ratings of the seller agents. The problem of unfair ratings exists in almost every reputation system, including both unfairly high and unfairly low ratings. We begin by surveying some existing approaches to this problem, charac-terizing their capabilities and categorizing them in terms
A Context-Aware Framework for Detecting Unfair Ratings in an Unknown Real Environment
"... Abstract—Reputation systems are highly prone to unfair rating attacks. Though many approaches for detecting unfair ratings have been proposed so far, their performance is often affected by the environment where they are applied. For a given unknown real environment, it is difficult to choose the mos ..."
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Abstract—Reputation systems are highly prone to unfair rating attacks. Though many approaches for detecting unfair ratings have been proposed so far, their performance is often affected by the environment where they are applied. For a given unknown real environment, it is difficult to choose
Mechanisms for coping with unfair ratings and discriminatory behavior in online reputation reporting systems
- In ICIS
, 2000
"... Reputation reporting systems have emerged as an important risk management mechanism in online trading communities. However, the predictive value of these systems can be compromised in situations where conspiring buyers intentionally give unfair ratings to sellers or where sellers discriminate on the ..."
Abstract
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Cited by 29 (1 self)
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Reputation reporting systems have emerged as an important risk management mechanism in online trading communities. However, the predictive value of these systems can be compromised in situations where conspiring buyers intentionally give unfair ratings to sellers or where sellers discriminate
Mechanisms For Coping With Unfair Ratings And Discriminatory Behavior In Online Reputation Reporting Systems
- In ICIS
, 2000
"... Reputation reporting systems have emerged as an important risk management mechanism in online trading communities. However, the predictive value of these systems can be compromised in situations where conspiring buyers intentionally give unfair ratings to sellers or where sellers discriminate on t ..."
Abstract
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Reputation reporting systems have emerged as an important risk management mechanism in online trading communities. However, the predictive value of these systems can be compromised in situations where conspiring buyers intentionally give unfair ratings to sellers or where sellers discriminate
A survey of unfair rating problem and detection methods in reputation management systems
"... A reputation management system (RMS) is a system that helps users in an online community compute reputation of others. One important issue in this kind of systems is how to eliminate effect of unfair ratings. In this paper we make a survey of how people have solved this problem so far. Beside brief ..."
Abstract
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A reputation management system (RMS) is a system that helps users in an online community compute reputation of others. One important issue in this kind of systems is how to eliminate effect of unfair ratings. In this paper we make a survey of how people have solved this problem so far. Beside
A Personalized Approach to Address Unfair Ratings in Multiagent Reputation Systems
"... In multiagent systems populated by self-interested agents, consumer agents would benefit by modeling the reputation of provider agents, in order to make effective decisions about which agents to trust. One method for representing reputation is to ask other agents in the system (called advisor agents ..."
Abstract
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Cited by 5 (1 self)
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agents) to provide ratings of the provider agents. The problem of un-fair ratings exists in almost every reputation system, includ-ing both unfairly high and unfairly low ratings. We begin by surveying some existing approaches to this problem, charac-terizing their capabilities and categorizing them
Immunizing Online Reputation Reporting Systems Against Unfair Ratings and Discriminatory Behavior
"... Reputation reporting systems have emerged as an important risk management mechanism in online trading communities. However, the predictive value of these systems can be compromised in situations where conspiring buyers intentionally give unfair ratings to sellers or, where sellers discriminate on th ..."
Abstract
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Reputation reporting systems have emerged as an important risk management mechanism in online trading communities. However, the predictive value of these systems can be compromised in situations where conspiring buyers intentionally give unfair ratings to sellers or, where sellers discriminate
Immunizing Online Reputation Reporting Systems Against Unfair Ratings and Discriminatory Behavior
, 2000
"... Reputation reporting systems have emerged as an important risk management mechanism in online trading communities. However, the predictive value of these systems can be compromised in situations where conspiring buyers intentionally give unfair ratings to sellers or, where sellers discriminate on th ..."
Abstract
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Reputation reporting systems have emerged as an important risk management mechanism in online trading communities. However, the predictive value of these systems can be compromised in situations where conspiring buyers intentionally give unfair ratings to sellers or, where sellers discriminate
Engendering Trust in Buying and Selling Agents by Discouraging the Reporting of Unfair Ratings
"... In this paper, we examine the application of electronic marketplaces, populated by buying and selling agents representing their human users, learning about potential business partners and making recommendations to their users. We propose a novel incentive mechanism to address the unfair rating probl ..."
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In this paper, we examine the application of electronic marketplaces, populated by buying and selling agents representing their human users, learning about potential business partners and making recommendations to their users. We propose a novel incentive mechanism to address the unfair rating
Results 1 - 10
of
524
