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.
Source: 2010 International Workshop on Intelligent Web Interaction, Toronto, Canada, 31 Agosto 2010
Publisher: IEEE, New York, USA
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@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, New York, USA},
booktitle = {2010 International Workshop on Intelligent Web Interaction, Toronto, Canada, 31 Agosto 2010},
year = {2010}
}
0000-0002-2545-0425