http://www.cnr.it/ontology/cnr/individuo/prodotto/ID199651

A search architecture enabling efficient diversification of search results (Contributo in atti di convegno)

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A search architecture enabling efficient diversification of search results (Contributo in atti di convegno) (literal)

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Gabriele Capannini, Franco Maria Nardini, Raffaele Perego, and Fabrizio Silvestri (2011)
A search architecture enabling efficient diversification of search results
in Diversity in Document Retrieval Workshop, DDR-2011, Dublin, 18th April 2011
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Gabriele Capannini, Franco Maria Nardini, Raffaele Perego, and Fabrizio Silvestri (literal)

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The workshop was held in conjunction with ECIR 2011 -- the 33rd European Conference on Information Retrieval. Online proceedings - 2103 - ID Modulo Commessa: ICT.P09.006.001 - 074 - Tecnologie avanzate, Sistemi e Servizi per Grid - Area di valutazione 01 - Scienze matematiche e informatiche (literal)

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Titolo

A search architecture enabling efficient diversification of search results (literal)

Abstract

In this paper, we deal with efficiency of the diversification of results returned by Web Search Engines (WSEs). We extend a search architecture based on additive Machine Learned Ranking (MLR) systems with a new module computing the diversity score of each retrieved document. Our proposed solution is designed to be used with other techniques, (e.g. early termination of rank computation, etc.). Furthermore, we use an efficient state-of-the-art diversification approach based on knowledge extracted from query logs, and prove that it can efficiently works in a additive machine learned ranking system, and we study its feasibility. (literal)

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