A survey of query recommendation techniques for data warehouse exploration.

  • Marcel P
  • Negre E
  • 19

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Abstract

Lots of data are gathered in datawarehouses that are navigated and explored for analytical purposes. Only recently has the problem of recommend- ing a datawarehouse query to a datawarehouse user attracted attention. In this paper, we propose a simple formal framework for expressing datawarehouse query recommendations. We propose to see the problem of recommending a datawarehouse query for exploration purposes as a function computing a set of queries and associated ratings given a query log, a session, a user profile, a datawarehouse instance, and an expectation function. The rating computed indi- cates the usefulness of each query for a session. With this viewpoint, we review and categorize the few techniques that, to the best of our knowledge, have been proposed and we illustrate them with a case study.

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Authors

  • Patrick Marcel

  • Elsa Negre

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