DISTRIBUTED INFORMATION RETRIEVAL: A MULTI-OBJECTIVE RESOURCE SELECTION APPROACH
2003 ◽
Vol 11
(supp01)
◽
pp. 83-99
◽
Keyword(s):
Information retrieval is becoming increasingly concerned with resource selection and data fusion for distributed archives. In distributed information retrieval, a user submits a query to a broker, which determines a solution for how to yield a given number of documents from all available resources. In this paper, we present a multi-objective model for resource selection, in which four aspects: a document's relevance to the given query, time, monetary cost, and the chance of getting document duplicates from resources, are considered simultaneously. Some variants of this multi-objective model, aimed at achieving better implementation efficiency, are also proposed.
2015 ◽
Vol 16
◽
pp. 110-144
◽
2019 ◽
pp. 52-63
2008 ◽
Vol 6
(1)
◽
pp. 1-28
◽
2015 ◽
Vol 17
◽
pp. 94-104