Query matching for report recommendation
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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When searching information, a first and crucial step is queries formulations. However it is a hard task for decision makers notably in related data warehousing fields, where queries are very heterogeneous and cannot be interpreted easily. This paper presents a new approach to assist users to formulate their queries by exploiting their past querying experiences. Thus, a user can incrementally construct each of his/her queries by visualizing and taking lessons from how other users have carried out their querying tasks. The visualization and the assistance given to the user is based on frequent itemsets extracted from past queries connected to his/her current query in construction.