QueRIE : Personalized Query Recommendation

  Narayan B.Vikhe,  Prof. M .M. Naoghare

Basically a Query is request for information from a Database. Many database systems requires you to make requests for information in the form of a stylized query that must be written in a special Query Language. Database Query Language attempts to give accurate answers to the accurate questions. For the aid of users who lack the SQL expertise we develop “ QueRIE : Personalized Query Recommendation System ”. Where the QueRIE holds the trace of the users querying style and finds matching patterns in the systems query log, in an attempt to recognize previous users with similar information requirements. Subsequently, QueRIE treats these similar users and their queries to commend queries that the current user may find enthralling. Here we describe an instantiation of the QueRIE framework, where the active users session is depicted by a set of query fragments. The recorded fragments are used to recognize similar query fragments in the previously recorded sessions, which are in turn collected in likely fascinating queries for the active user.

Keywords- Data Exploration , Fragmentation, Interactive Database Exploration , Personalization , QueRIE , Query Fragment , Query Log , Query Recommendation , SQL , Tuple Based.

Unique Identification Number - IJEDR1504152
Page Number(s) - 852-856
Pubished in - Volume 3 | Issue 4 | December 2015
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Narayan B.Vikhe,  Prof. M .M. Naoghare,   "QueRIE : Personalized Query Recommendation", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 4, pp.852-856, December 2015, Available at :http://www.ijedr.org/papers/IJEDR1504152.pdf