ICIC   25583
INSTITUTO DE CIENCIAS E INGENIERIA DE LA COMPUTACION
Unidad Ejecutora - UE
artículos
Título:
Guidelines for the Analysis and Design of Argumentation-Based Recommendation Systems
Autor/es:
SIMARI, GERARDO I.; SIMARI, GERARDO I.; BUDAN, MAXIMILIANO C. D.; BUDAN, MAXIMILIANO C. D.; LEIVA, MARIO; LEIVA, MARIO
Revista:
IEEE INTELLIGENT SYSTEMS
Editorial:
IEEE COMPUTER SOC
Referencias:
Año: 2020 vol. 35 p. 28 - 37
ISSN:
1541-1672
Resumen:
Recommender systems study the characteristics of its users and applying different kinds of processing to the available data, find a subset of items that may be of interest to a given user in a specific situation. Argumentation-based tools offer the possibility of analyzing complex and dynamic domains by generating and analyzing arguments for and against recommending a specific item based on the users´ preferences. This approach allows us to analyze the qualitative and quantitative characteristics of the recommended items, and to provide explanations to increase transparency. In this article, we develop a set of software engineering guidelines for the analysis and design of recommender systems leveraging this approach.