NDLI: A framework for trust modeling in multiagent electronic marketplaces with buying advisors to consider varying seller behavior and the limiting of seller bids

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Issue 4(Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers), September 2013

Issue 3(Special Sections on Paraphrasing; Intelligent Systems for Socially Aware Computing; Social Computing, Behavioral-Cultural Modeling, and Prediction), June 2013

Issue 2(Special section on agent communication, trust in multiagent systems, intelligent tutoring and coaching systems), March 2013

Introduction to the special section on agent communication

Research directions in agent communication

Formalizing and verifying protocol refinements

Constitutive and regulative specifications of commitment protocols: A decoupled approach

Introduction to special section on trust in multiagent systems

A framework for trust modeling in multiagent electronic marketplaces with buying advisors to consider varying seller behavior and the limiting of seller bids

Building and using social structures: A case study using the agent ART testbed

Stereotypical trust and bias in dynamic multiagent systems

From manifesta to krypta: The relevance of categories for trusting others

Introduction to the special section on intelligent tutoring and coaching systems

Tractable POMDP representations for intelligent tutoring systems

LONET: An interactive search network for intelligent lecture path generation

Personalized reading support for second-language web documents

Intelligent systems and technology for integrative and predictive medicine: An ACP approach

A parts-based approach for automatic 3D shape categorization using belief functions

Learning image-to-class distance metric for image classification

A fully online and unsupervised system for large and high-density area surveillance: Tracking, semantic scene learning and abnormality detection

A conformant planner based on approximation: CpA(H)

Issue 1(Special section on twitter and microblogging services, social recommender systems, and CAMRa2010: Movie recommendation in context), January 2013

ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 3

ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 2

ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 1

A framework for trust modeling in multiagent electronic marketplaces with buying advisors to consider varying seller behavior and the limiting of seller bids

Content Provider	ACM Digital Library
Author	Cohen, Robin Zhang, Jie
Copyright Year	2013
Abstract	In this article, we present a framework of use in electronic marketplaces that allows buying agents to model the trustworthiness of selling agents in an effective way, making use of seller ratings provided by other buying agents known as advisors. The trustworthiness of the advisors is also modeled, using an approach that combines both personal and public knowledge and allows the relative weighting to be adjusted over time. Through a series of experiments that simulate e-marketplaces, including ones where sellers may vary their behavior over time, we are able to demonstrate that our proposed framework delivers effective seller recommendations to buyers, resulting in important buyer profit. We also propose limiting seller bids as a method for promoting seller honesty, thus facilitating successful selection of sellers by buyers, and demonstrate the value of this approach through experimental results. Overall, this research is focused on the technological aspects of electronic commerce and specifically on technology that would be used to manage trust.
Starting Page	1
Ending Page	22
Page Count	22
File Format	PDF
ISSN	21576904
e-ISSN	21576912
DOI	10.1145/2438653.2438659
Volume Number	4
Issue Number	2
Journal	ACM Transactions on Intelligent Systems and Technology (TIST)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-04-03
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Multiagent systems Electronic commerce applications Social networks Trust modeling
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Theoretical Computer Science

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A framework for trust modeling in multiagent electronic marketplaces with buying advisors to consider varying seller behavior and the limiting of seller bids (2013).

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The Economics of Reputation and Feedback Systems in E-Commerce Marketplaces

Towards the design of robust trust and reputation systems (2013).

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A framework for trust modeling in multiagent electronic marketplaces with buying advisors to consider varying seller behavior and the limiting of seller bids

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