Title :
A Weighing Framework for Information Retrieval in Peer-to-Peer Networks
Author :
Castiglion, Roberto ; Melucci, Massimo
Author_Institution :
Dept. of Inf. Eng., Univ. of Padua
Abstract :
Using a general weighing framework, it is proposed a model to organize and select peers from which relevant documents are retrieved. It was studied the impact of the partial exploration of a peer-to-peer network on the proportion of retrieved relevant documents by using a sub-set of a standard test collection for evaluation in information retrieval. The experimental results have suggested that a small exploration ratio allows for retrieving a significant proportion of retrieved relevant documents
Keywords :
information retrieval; peer-to-peer computing; document retrieval; information retrieval; peer-to-peer network; weighing framework; Bandwidth; Clustering algorithms; Computer networks; Information retrieval; Intelligent networks; Mobile handsets; Optical computing; Peer to peer computing; Personal digital assistants; Testing;
Conference_Titel :
Database and Expert Systems Applications, 2005. Proceedings. Sixteenth International Workshop on
Conference_Location :
Copenhagen
Print_ISBN :
0-7695-2424-9
DOI :
10.1109/DEXA.2005.36