Trust and reputation-based multi-agent recommender system

2018 ◽  
Vol 16 (4) ◽  
pp. 350 ◽  
Author(s):  
Punam Bedi ◽  
Sumit Kumar Agarwal ◽  
N.A. Richa
Keyword(s):  
Recommender System ◽  
Trust And Reputation ◽  
Multi Agent

Trust and reputation-based multi-agent recommender system

2018 ◽  
Vol 16 (4) ◽  
pp. 350
Author(s):  
N.A. Richa ◽  
Sumit Kumar Agarwal ◽  
Punam Bedi
Keyword(s):  
Recommender System ◽  
Trust And Reputation ◽  
Multi Agent

An Intelligent Multi-agent Recommender System

2014 ◽  
pp. 201-213 ◽  
Author(s):  
Mahmood A. Mahmood ◽  
Nashwa El-Bendary ◽  
Jan Platoš ◽  
Aboul Ella Hassanien ◽  
Hesham A. Hefny
Keyword(s):  
Recommender System ◽  
Multi Agent

AVATAR: An Advanced Multi-agent Recommender System of Personalized TV Contents by Semantic Reasoning

2004 ◽  
pp. 415-421 ◽  
Author(s):  
Yolanda Blanco-Fernández ◽  
José J. Pazos-Arias ◽  
Alberto Gil-Solla ◽  
Manuel Ramos-Cabrer ◽  
Belén Barragáns-Martínez ◽  
...  
Keyword(s):  
Recommender System ◽  
Semantic Reasoning ◽  
Multi Agent

Aspect-Oriented Recommender Systems

2013 ◽  
pp. 55-72
Author(s):  
Punam Bedi ◽  
Sumit Kr Agarwal
Keyword(s):  
Decision Making ◽  
Recommender Systems ◽  
Recommender System ◽  
User Preference ◽  
Preference Learning ◽  
Decision Making Process ◽  
Design Issues ◽  
Aspect Oriented Programming ◽  
Multi Agent ◽  
Oriented Approach

Recommender systems are widely used intelligent applications which assist users in a decision-making process to choose one item amongst a potentially overwhelming set of alternative products or services. Recommender systems use the opinions of members of a community to help individuals in that community by identifying information most likely to be interesting to them or relevant to their needs. Recommender systems have various core design crosscutting issues such as: user preference learning, security, mobility, visualization, interaction etc that are required to be handled properly in order to implement an efficient, good quality and maintainable recommender system. Implementation of these crosscutting design issues of the recommender systems using conventional agent-oriented approach creates the problem of code scattering and code tangling. An Aspect-Oriented Recommender System is a multi agent system that handles core design issues of the recommender system in a better modular way by using the concepts of aspect oriented programming, which in turn improves the system reusability, maintainability, and removes the scattering and tangling problems from the recommender system.

scholarly journals Multi-Agent-Based CBR Recommender System for Intelligent Energy Management in Buildings

2019 ◽  
Vol 13 (1) ◽  
pp. 1084-1095 ◽  
Author(s):  
Tiago Pinto ◽  
Ricardo Faia ◽  
Maria Navarro-Caceres ◽  
Gabriel Santos ◽  
Juan Manuel Corchado ◽  
...  
Keyword(s):  
Energy Management ◽  
Recommender System ◽  
Agent Based ◽  
Multi Agent

Trust and Reputation in Multi-Agent Resilient Systems*

2019 ◽  
Author(s):  
Michael Sievers ◽  
Azad M. Madni ◽  
Parisa Pouya ◽  
Robert Minnichelli
Keyword(s):  
Trust And Reputation ◽  
Multi Agent

Overview of Policy-Oriented and Trusty Multi-Agent System Research

2010 ◽  
Vol 34-35 ◽  
pp. 712-716
Author(s):  
Rui Fang Li ◽  
Jun Hu
Keyword(s):  
Multi Agent System ◽  
System Research ◽  
Agent System ◽  
Trust And Reputation ◽  
Multi Agent

In a multi-agent system, the behavior of agent is difficult to be predicted and controlled reliably because of agent's autonomy, thereby which causes the “trust” crisis that whether the overall goal can be completed or not. In this paper, the multi-agent system credibility of research is introduced from the trust and reputation, and the existing collaboration systems are pointed out that which is lack of controllability and credibility, finally the method of solving credibility of multi-agent system is proposed, namely a two-tier policy-oriented mechanism and a credibility ensuring principle. The executing of system is controlled and guided from looking the collaborators, collaboration established, consultations and negotiations and other sectors, thus the implementation behavior of the system is ensured that which is controllable and trusty.

A multi-agent legal recommender system

2008 ◽  
Vol 16 (2) ◽  
pp. 175-207 ◽  
Author(s):  
Lucas Drumond ◽  
Rosario Girardi
Keyword(s):  
Recommender System ◽  
Multi Agent

scholarly journals A Trust and Reputation Model as Adaptive Mechanism for Multi-Agent Systems

2009 ◽  
Vol 13 (42) ◽  
Author(s):  
Alberto Caballero ◽  
Teresa García-Valverde ◽  
Juan A. Botia ◽  
Antonio Gomez-Skarmeta
Keyword(s):  
Adaptive Mechanism ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Trust And Reputation ◽  
Multi Agent ◽  
Reputation Model
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