Istituto di Scienza e Tecnologie dell'Informazione     
Lucchese C., Orlando S., Perego R., Silvestri F., Tolomei G. Detecting task-based query sessions using collaborative knowledge. In: IWI'10 - 2010 International Workshop on Intelligent Web Interaction (Toronto, Canada, 31 Agosto 2010). Proceedings, article n. Wr393. IEEE, 2010.
Our research challenge is to provide a mechanism for splitting into user task-based sessions a long-term log of queries submitted to a Web Search Engine (WSE). The hypothesis is that some query sessions entail the concept of user task. We present an approach that relies on a centroid-based and a density-based clustering algorithm, which consider queries inter-arrival times and use a novel distance function that takes care of query lexical content and exploits the collaborative knowledge collected by Wiktionary and Wikipedia.
Subject Web data mining
Query log session breaking
Task-based session
Query clustering
H.2.8 Database Applications. Data mining
H.3.3 Information Search and Retrieval

Icona documento 1) Download Document PDF

Icona documento Open access Icona documento Restricted Icona documento Private


Per ulteriori informazioni, contattare: Librarian http://puma.isti.cnr.it

Valid HTML 4.0 Transitional