Modeling information sources as integrals for effective and efficient source selection |
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| Authors: | Georgios Paltoglou Michail Salampasis Maria Satratzemi |
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| Institution: | 1. University of Macedonia, Egnatias 156, 54006 Thessaloniki, Greece;2. Alexander Technological Educational Institute of Thessaloniki, P.O. Box 141, 57400 Thessaloniki, Greece |
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| Abstract: | In this paper, a new source selection algorithm for uncooperative distributed information retrieval environments is presented. The algorithm functions by modeling each information source as an integral, using the relevance score and the intra-collection position of its sampled documents in reference to a centralized sample index and selects the collections that cover the largest area in the rank-relevance space. Based on the above novel metric, the algorithm explicitly focuses on addressing the two goals of source selection; high-recall, which is important for source recommendation applications and high-precision which is important for distributed information retrieval, aiming to produce a high-precision final merged list. |
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| Keywords: | Source selection Distributed information retrieval Federated search |
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