INVESTIGADORES
GARCIA Alejandro Javier
congresos y reuniones científicas
Título:
Using Defeasible Logic Programming with Contextual Queries for developing Recommender Servers
Autor/es:
MARIANO TUCAT; ALEJANDRO J. GARCÍA; GUILLERMO R. SIMARI
Lugar:
Washington D.C.USA
Reunión:
Simposio; The Uses of Computational Argumentation, AAAI Fall Symposium; 2009
Resumen:
In this work we introduce a defeasible logic programming
recommender server that accepts different types of queries
from client agents that can be distributed in remote hosts. We
formalize new ways of querying recommender servers containing
specific information or preferences, and creating a
particular context for the queries. This special type of queries
(called contextual queries) allows recommender servers to
compute recommendations for any client using its preferences,
and will be answered using an argumentative inference
mechanism. We focus on a particular implementation of recommended
systems that extends the integration of argumentation
and recommender systems to a multi-agent setting. Our
approach is based on a DeLP-server that can answer queries
from agents in remote hosts. Since client agents can consult
different domain specific recommender servers, then, multiple
configurations of clients and servers can be defined.