Argument-based critics and recommenders: A qualitative perspective on user support systems
Data de publicació2006
Chesñevar, Carlos Iván
Maguitman, Ana Gabriela
Simari, Guillermo Ricardo
MetadadesMostra el registre d'unitat complet
In recent years we have witnessed the wide-spread evolution of support tools that operate in association with the user to accomplish a range of computer-mediated tasks. Two examples of these tools are critics and recommenders. Critics are cooperative tools that observe the user interacting with a
computer system and present reasoned opinions about a product under development. Recommender systems are tools that assist users by facilitating access to relevant items. 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 novel approach towards the integration of user support systems, such as critics and recommender systems, with a defeasible argumentation framework. The final goal is to enhance practical reasoning capabilities of current user support tools by incorporating argument-based qualitative inference.
És part deData & Knowledge Engineering, 2006, vol. 59, núm. 2, p. 293-319
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