Exploiting the cumulative behavior of users is a common technique used to improve many popular online services. We build a tag spell checker using a graph-based model. In particular, we present a novel technique based on the graph of tags associated with objects made available by online sites such as Flickr and YouTube. We show the effectiveness of our approach on the basis of an experimentation done on real-world data. We show a precision of up to 93% with a recall (i.e., the number of errors detected) of up to 100%. © 2010 Springer-Verlag.

On tag spell checking / Nardini, F. M.; Silvestri, F.; Vahabi, H.; Vahabi, P.; Frieder, O.. - 6393(2010), pp. 37-42. ((Intervento presentato al convegno 17th International Symposium on String Processing and Information Retrieval, SPIRE 2010 tenutosi a Los Cabos, mex [10.1007/978-3-642-16321-0_4].

On tag spell checking

Silvestri F.;
2010

Abstract

Exploiting the cumulative behavior of users is a common technique used to improve many popular online services. We build a tag spell checker using a graph-based model. In particular, we present a novel technique based on the graph of tags associated with objects made available by online sites such as Flickr and YouTube. We show the effectiveness of our approach on the basis of an experimentation done on real-world data. We show a precision of up to 93% with a recall (i.e., the number of errors detected) of up to 100%. © 2010 Springer-Verlag.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1573056
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