scholarly journals Trustworthy Agent-Based Recommender System in a Mobile P2P Environment

2012 ◽  
pp. 59-70
Author(s):  
Nabil Sahli ◽  
Gabriele Lenzini ◽  
Henk Eertink
Keyword(s):  
Recommender System ◽  
Agent Based ◽  
Mobile P2p

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

An agent-based recommender system for developing customized families of products

2008 ◽  
Vol 20 (6) ◽  
pp. 649-659 ◽  
Author(s):  
Seung Ki Moon ◽  
Timothy W. Simpson ◽  
Soundar R. T. Kumara
Keyword(s):  
Recommender System ◽  
Agent Based

An Agent-Based Collaborative Framework for Mobile P2P Applications

2006 ◽  
pp. 132-144 ◽  
Author(s):  
Mengqiu Wang ◽  
Heiko Wolf ◽  
Martin Purvis ◽  
Maryam Purvis
Keyword(s):  
Agent Based ◽  
Mobile P2p ◽  
P2p Applications

COLLABORATIVE WEB SEARCH BASED ON USER INTEREST SIMILARITY

2008 ◽  
Vol 17 (04) ◽  
pp. 495-521 ◽  
Author(s):  
DANIELA GODOY ◽  
ANALÍA AMANDI
Keyword(s):  
Recommender System ◽  
Web Search ◽  
Personal Information ◽  
Empirical Evaluation ◽  
User Interest ◽  
Agent Based ◽  
Information Agents ◽  
Personal Agents ◽  
Interest Similarity ◽  
The Web

The motivation behind personal information agents resides in the enormous amount of information available on the Web, which has created a pressing need for effective personalized techniques. In order to assists Web search these agents rely on user profiles modeling information preferences, interests and habits that help to contextualize user queries. In communities of people with similar interests, collaboration among agents fosters knowledge sharing and, consequently, potentially improves the results of individual agents by taking advantage of the knowledge acquired by other agents. In this paper, we propose an agent-based recommender system for supporting collaborative Web search in groups of users with partial similarity of interests. Empirical evaluation showed that the interaction among personal agents increases the performance of the overall recommender system, demonstrating the potential of the approach to reduce the burden of finding information on the Web.

Case-Based Reasoning and Agent Based Job Offer Recommender System

2018 ◽  
pp. 21-33 ◽  
Author(s):  
Alfonso González-Briones ◽  
Alberto Rivas ◽  
Pablo Chamoso ◽  
Roberto Casado-Vara ◽  
Juan Manuel Corchado
Keyword(s):  
Recommender System ◽  
Case Based Reasoning ◽  
Agent Based ◽  
Case Based
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