PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Capannini G., Nardini F. M., Perego R., Silvestri F. A search architecture enabling efficient diversification of search results. In: DDR-2011 - Diversity in Document Retrieval Workshop (Dublin, 18th April 2011). Proceedings, pp. 42 - 46. ECIR, 2011.
 
 
Abstract
(English)
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.
URL: http://www.dcs.gla.ac.uk/workshops/ddr2011/ddr2011.proceedings.pdf
Subject Diversification information retrieval
H.3.3 Information Search and Retrieval


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