2010
Conference article  Restricted

Detecting task-based query sessions using collaborative knowledge

Lucchese C, Orlando S, Perego R, Silvestri F, Tolomei G

Database Applications. Data mining  Information Search and Retrieval  Web data mining  Query log session breaking  Task-based session 

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.

Publisher: IEEE



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BibTeX entry
@inproceedings{oai:it.cnr:prodotti:92074,
	title = {Detecting task-based query sessions using collaborative knowledge},
	author = {Lucchese C and Orlando S and Perego R and Silvestri F and Tolomei G},
	publisher = {IEEE},
	year = {2010}
}