Task Allocation in Case-Based Recommender Systems: A Swarm Intelligence Approach

Fabiana Lorenzi; Daniela Scherer dos Santos; Denise de Oliveira; Ana L.C. Bazzan

doi:10.4018/978-1-59904-108-7.ch014

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Task Allocation in Case-Based Recommender Systems: A Swarm Intelligence Approach

Fabiana Lorenzi (Universidade Federal do Rio Grande do Sul, Brazil), Daniela Scherer dos Santos (Universidade Luterana do Brasil, Brazil), Denise de Oliveira (Universidade Federal do Rio Grande do Sul, Brazil) and Ana L.C. Bazzan (Universidade Federal do Rio Grande do Sul (UFRGS), Brasil)

Source Title: Architectural Design of Multi-Agent Systems: Technologies and Techniques

DOI: 10.4018/978-1-59904-108-7.ch014

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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.

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Task Allocation in Case-Based Recommender Systems: A Swarm Intelligence Approach

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