QueRIE: A Query Recommender System Supporting Interactive Database Exploration

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 queryi...

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Bibliographic Details
Published in2010 IEEE International Conference on Data Mining Workshops pp. 1411 - 1414
Main Authors Mittal, S, Varman, J S V, Chatzopoulou, G, Eirinaki, M, Polyzotis, N
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2010
Subjects
Collaboration
collaborative filtering
Engines
interactive database exploration
Real time systems
Recommender systems
Relational databases
Silicon
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Summary: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.
ISBN:9781424492442
1424492440
ISSN:2375-9232
2375-9259
DOI:10.1109/ICDMW.2010.43