Task Allocation in Case-Based Recommender Systems-Reference-Cited by-同舟云学术

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Task Allocation in Case-Based Recommender Systems

Published:2007 Issue: Volume: Page:268-279
ISSN:
Container-title:Architectural Design of Multi-Agent Systems
language:
Short-container-title:

Author:

Lorenzi Fabiana¹,dos Santos Daniela Scherer²,Oliveira Denise de¹,Bazzan Ana L.C.³

Affiliation:

1. Universidade Federal do Rio Grande do Sul, Brazil

2. Universidade Luterana do Brasil, Brazil

3. Universidade Federal do Rio Grande do Sul (UFRGS), Brasil

Abstract

Case-based recommender systems can learn about user preferences over time and automatically suggest products that fit these preferences. In this chapter, we present such a system, called CASIS. In CASIS, we combined the use of swarm intelligence in the task allocation among cooperative agents applied to a case-based recommender system to help the user to plan a trip.

Publisher

IGI Global

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Autonomous Swarm Agents Using Case-Based Reasoning;Lecture Notes in Computer Science;2018

2. A Multiagent Recommender System with Task-Based Agent Specialization;Agent-Mediated Electronic Commerce and Trading Agent Design and Analysis;2010

3. Optimizing Preferences within Groups: A Case Study on Travel Recommendation;Lecture Notes in Computer Science;2008

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