Query Recommendation for Interactive Database Exploration (QueRIE) is a recommendation system that supports interactive
database exploration. The users who are not familiar with the database schema may face great difficulty in performing this job. This system
aims at assisting non expert users of relational databases by generating personalized query recommendations. QueRIE tracks the querying
behavior of previous users and identifies similar patterns. These similar query patterns are used to generate recommendations. There are
three approaches used in this work for generating query recommendations viz., suggested query by dictionary mapping, tuple based and
fragment history. And also the performance is analyzed among the three approaches.