Title :
QueRIE: A Query Recommender System Supporting Interactive Database Exploration
Author :
Mittal, Sarika ; Varman, Jothi Swarubini Vindhiya ; Chatzopoulou, Gloria ; Eirinaki, Magdalini ; Polyzotis, Neoklis
Author_Institution :
Comput. Eng. Dept., San Jose State Univ., San Jose, CA, USA
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.
Keywords :
Internet; data analysis; query processing; recommender systems; relational databases; scientific information systems; QueRIE; Web recommender systems; data analysis task; interactive database exploration; non-expert users; personalized query recommendations; query recommender system; querying behavior; scientific databases; collaborative filtering; interactive database exploration; recommender systems; relational databases;
Conference_Titel :
Data Mining Workshops (ICDMW), 2010 IEEE International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-4244-9244-2
Electronic_ISBN :
978-0-7695-4257-7
DOI :
10.1109/ICDMW.2010.43