PERSONAL DE APOYO
LORENZETTI Carlos Martin
congresos y reuniones científicas
Título:
Intelligent Algorithms for Reducing Query Propagation in Thematic P2P Search
Autor/es:
NICOLINI ANA LUCÍA; LORENZETTI CARLOS MARTÍN; LORENZETTI CARLOS MARTÍN; CHESÑEVAR CARLOS IVÁN
Lugar:
Mar del Plata, Buenos Aires
Reunión:
Congreso; Congreso Argentino de Ciencias de la Computacion; 2013
Institución organizadora:
Universidad CAECE
Resumen:
Information retrieval is a relevant topic in our days, especially in distributed systems where thousands of participants store and share large amounts of information with other users. The analysis, development and testing of adaptive search algorithms is a key avenue to exploit the capacity of P2P systems to lead to the emergence of semantic communities that are the result of the interaction between participants. In particular, intelligent algorithms for neighbor selection should lead to the emergence of efficient communication patterns. This paper presents new algorithms which are specifically aimed at reducing query propagation overload through learning peers interests.Promising results were obtained through different experiments designed to test the reduction of query propagation when performing thematic search in a distributed environment.
