Javad Akbarnejad
Neoklis 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 tracking their querying behavior and generating personalized query recommendations. The system is supported by two recommendation engines and the underlying recommendation algorithms. The first 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. The second identifies structurally similar queries to the ones posted by the current user. Both approaches result in a recommendation set of SQL queries that is provided to the user to modify, or directly post to the database. The demonstrated system will enable users to query and get real-time recommendations from the SkyServer database, using user traces collected from the SkyServer query log.
- G. Chatzopoulou, M. Eirinaki, and N. Polyzotis. Collaborative filtering for interactive database exploration. In SSDBM '09. Google Scholar
Digital Library
- E. Cohen. Size-estimation framework with applications to transitive closure and reachability. Journal of Computer and System Sciences, 55:441--453, 1997. Google ScholarDigital Library
- A. Giacometti, P. Marcel, and E. Negre. Recommending Multidimensional Queries. In DaWaK'09. Google ScholarDigital Library
- A. Giacometti, P. Marcel, E. Negre, and A. Soulet. Query recommendations for olap discovery driven analysis. In DOLAP '09. Google ScholarDigital Library
- N. Khoussainova, M. Balazinska, W. Gatterbauer, Y. Kwon, and D. Suciu. A case for a collaborative query management system. In CIDR '09.Google Scholar
- G. Koutrika and Y. Ioannidis. Personalized queries under a generalized preference model. In ICDE '05. Google ScholarDigital Library
- S. Mittal, J. S. V. Varman, G. Chatzopoulou, M. Eirinaki, and N. Polyzotis. QueRIE: A Recommender System supporting Interactive Database Exploration. In ICDM '09 (to appear in ICDM '10 proceedings because of editor's error). Google ScholarDigital Library
Index Terms
- SQL QueRIE recommendations
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