PUMA
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.
 
 
Abstract
(English)
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


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