In this paper we propose a query disambiguation mechanism focalizing the query context by applying clustering to the results of a Web-search. The clusters are ranked to reflect a balance of their contents’ novelty and overall similarity with respect to the original query, and, from each of them, a disambiguated query is generated so as to potentially retrieve new documents focalized on the cluster contents.
(2009). Query Disambiguation Based on Novelty and Similarity User's Feedback [conference presentation - intervento a convegno]. Retrieved from http://hdl.handle.net/10446/23475
Query Disambiguation Based on Novelty and Similarity User's Feedback
PSAILA, Giuseppe
2009-01-01
Abstract
In this paper we propose a query disambiguation mechanism focalizing the query context by applying clustering to the results of a Web-search. The clusters are ranked to reflect a balance of their contents’ novelty and overall similarity with respect to the original query, and, from each of them, a disambiguated query is generated so as to potentially retrieve new documents focalized on the cluster contents.File allegato/i alla scheda:
Non ci sono file allegati a questa scheda.
Pubblicazioni consigliate
Aisberg ©2008 Servizi bibliotecari, Università degli studi di Bergamo | Terms of use/Condizioni di utilizzo
