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Distributed information retrieval: A multiobjective resource selection approach (2003)
| Content Provider | CiteSeerX |
|---|---|
| Author | Wu, Shengli Crestani, Fabio |
| Abstract | 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. Keywords: models. information retrieval, resource selection, digital libraries, multi-objective |
| File Format | |
| Journal | International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems |
| Language | English |
| Publisher Date | 2003-01-01 |
| Access Restriction | Open |
| Subject Keyword | Information Retrieval Multiobjective Resource Selection Approach Resource Selection Multi-objective Model Available Resource Document Relevance Distributed Archive Document Duplicate Data Fusion Monetary Cost Distributed Information Retrieval Digital Library Implementation Efficiency |
| Content Type | Text |
| Resource Type | Article |
