Literature Survey on Preference Database

International Journal of Computer Trends and Technology (IJCTT)          
© 2014 by IJCTT Journal
Volume-9 Number-6                          
Year of Publication : 2014
Authors : Divyavani .P , Meenakshi .R , Monica .K.V


Divyavani .P , Meenakshi .R , Monica .K.V."Literature Survey on Preference Database". International Journal of Computer Trends and Technology (IJCTT) V9(6):296-300, March 2014. ISSN:2231-2803. Published by Seventh Sense Research Group.

Abstract -
Preference data base (Pref DB) used to provide appropriate recommendations to the users on their relevant search and preferences. The design is made such that user interested data is obtained from the database. PrefDB uses object oriented query technique to retrieve the data from the database. A very good example we are dealing in this paper is getting the favorite movie of the user (movie recommendation) based on his interest. The main aim is to retrieve the user interested movie as the interests of the user changes with respect to time.

[1] Anastasios Arvanitis and Georgia Koutrika. PrefDB: Supporting Preferences as First-Class Citizens in Relational Databases. In IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING.
[2] Basic principles of query optimization [online] available: accessed on 21-03-2014.
[3] Query optimization [online] available accessed on 19/03/2014
[4] Anastasios Arvanitis and Georgia Koutrika . PrefDB: Bringing Preferences Closer to the DBMS. In SIGMOD’12
[5] An Overview of Query Optimization in Relational Systems [online] available accessed on 21-03-2013.
[6] P.G. Selinger, M.M. Astrahan, D.D. Chamberlin, R.A. Lorie, and T.G. Price. Access path selection in a relational database management system. In SIGMOD, pages 23-34, 1979.
[7] V. Christophides, D.Plexousakis, M.scholl, and S.Tourtounis. On labeling schemes for the semantic web. In WWW, pages 544-555, 2003.
[8] F. Mokbel Justin J. Levandoski. Toward Context and Preference Aware Location Based Services.ACMmobiDE’09.

PrefDB, Query Parsing, Recommendation, Query Optimization, Query Execution, Relational Database and Joins.