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Article
QueRIE: A Query Recommender System supporting Interactive Database Exploration
IEEE International Conference on Data Mining Series (2009)
  • S. Mittal, San Jose State University
  • J. S. Vindhiya Varman, San Jose State University
  • Magdalini Eirinaki, San Jose State University
  • G. Chatzopoulou, University of California - Riverside
  • N. Polyzotis
Abstract
This demonstration presents QueRIE, a recommender system that supports interactive database exploration. This system aims at assisting non-expert users of scientific databases by generating personalized query recommendations. Drawing inspiration from Web recommender systems, QueRIE tracks the querying behavior of each user and identifies potentially “interesting” parts of the database related to the corresponding data analysis task by locating those database parts that were accessed by similar users in the past. It then generates and recommends the queries that cover those parts to the user.
Publication Date
December, 2009
Citation Information
S. Mittal, J. S. Vindhiya Varman, Magdalini Eirinaki, G. Chatzopoulou, et al.. "QueRIE: A Query Recommender System supporting Interactive Database Exploration" IEEE International Conference on Data Mining Series (2009)
Available at: http://works.bepress.com/magdalini_eirinaki/16/