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
@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} }