Collaborative reputation mechanisms for electronic marketplaces

By Giorgos Zacharia, Alexandros Moukas, Pattie Maes. Decision Support Systems, 2000

617 citations recorded by the source corpus.

Subfields: Information Systems, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/e3968910181a1719a13e04addc206e702c644707

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems

In Sociology and Political Science

Citations in the corpus

The Beta Reputation System (2002, background): “These range from simple ones which accept numerical values which are simply added together, such as in eBay, to advanced mechanisms which deploy more complex mathematical equations [15, 14, 11, 3, 7, 8].”
Recommender systems survey (2013, neutral): “[71,239,240].”
A computational model of trust and reputation (2002, background): “Zacharia and Maes (1999) have suggested that reputation in an on-line community can be related to the ratings that an agent receives from others, and have pointed out several criteria for such rating systems.”
Helpful Reviewers in TripAdvisor, an Online Travel Community (2011, background): “Systematic mechanisms calculate reputation based on algorithms that utilize objective information such as duration of the relationship or membership, frequency of participant activities, in addition to ratings by other members, to compute online reputation (Zacharia et al., 2000).”
Notions of reputation in multi-agents systems: a review (2002, background): “4 Our term “Encounter-derived” reputation is usually called “personalized” (Zacharia and Maes, 1999; Sabater and Sierra, 2001; Yu and Singh, 20001; Mui, et al., 2001).”
Computational models of trust and reputation: agents, evolutionary games, and social networks (2002, background): “33 Sporas and Histos (Zacharia and Maes, 1999) allow each user in a community to rate one another after each transaction and modify their reputations based on these ratings.”
A reputation-based approach for choosing reliable resources in peer-to-peer networks (2002, background): “Reputations are also effectively used in electronic marketplaces as a measure of the reliability of participants [24].”
Understanding Customer Trust in Agent-Mediated Electronic Commerce, Web-Mediated Electronic Commerce, and Traditional Commerce (2004, background): “Definitions of customer trust in agent-mediated e-commerce Prior research on customer trust in agent-mediated e-commerce is scarce, although there are quite a few studies on computer agent usage in agent-mediated e-commerce [24,59,71,84], on computer agent design [3, 103 ], on the effects of compute”
A Robust Reputation System for P2P and Mobile Ad-hoc Networks (2004, background): “Another centralized reputation system exploiting reputation paths between entities has been proposed by Zacharia et al. [ 22 ].”
Trust management through reputation mechanisms (2000, background): “Applied ArtiÐcial Intelligence, 14 :881È907 Copyright 2000 Taylor & FrancisÓ 0883-9514 /00 $12.00 1 .00 TRUST MANAGEMENT THROUGH REPUTATION MECHANISMS GIORGOS ZACHARIA and PATTIE MAES”
A Social Mechanism of Reputation Management in Electronic Communities (2000, background): “Yenta 3], weaving a web of trust 4], and Kasbah 2, 12] require that users give a rating for themselves and either have a central agency (direct ratings) or other trusted users (collaborative ratings).”
Trust and reputation model in peer-to-peer networks (2003, background): “Trust and reputation mechanisms have been proposed for large open environments in e-commerce, peer-to-peer computing, recommender systems [4, 13, 14, 17, 18, 19].”
Bayesian network-based trust model (2003, background): “The third problem is that agents can increase their reputations artificially by creating fake identities and having them to give themselves high ratings [24].”
A survey of trust and reputation systems for online service provision (2007, methodology): “Authors proposing methods to counter this practice include Zacharia, Moukas and Maes [72].”