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2004
Springer

A first approach to argument-based recommender systems based on defeasible logic programming

12 years 3 months ago
A first approach to argument-based recommender systems based on defeasible logic programming
Recommender systems have evolved in the last years as specialized tools to assist users in a plethora of computermediated tasks by providing guidelines or hints. Most recommender systems are aimed at facilitating access to relevant items, a situation particularly common when performing web-based tasks. At the same time, defeasible argumentation has evolved as a successful approach in AI to model commonsense qualitative reasoning, with applications in many areas, such as agent theory, knowledge engineering and legal reasoning. This paper presents a first approach towards the integration of web-based recommender systems with a defeasible argumentation framework. The final goal is to enhance practical reasoning capabilities of current recommender system technology by incorporating argument-based qualitative inference.
Carlos Iván Chesñevar, Ana Gabriela
Added 02 Jul 2010
Updated 02 Jul 2010
Type Conference
Year 2004
Where NMR
Authors Carlos Iván Chesñevar, Ana Gabriela Maguitman, Guillermo Ricardo Simari
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