Volume 8 Issue 1 - January 2017

  • 1. A recommender system using data stored in heterogeneous database

    Authors : Nilesh Subhash Mali, Sachin Bojewar

    Pages : 380-384

    DOI : http://dx.doi.org/10.21172/1.81.049

    Keywords : Data warehouses, ETL Process, ETL tools, Business Intelligence, heterogeneous databases

    Abstract :

    Nowadays, most large-scale commercial as well as social websites uses recommender systems. The recommender system is important and become a necessity in various applications like online shop. A recommender system uses input from various heterogeneous databases to provide aggregate recommendations for the users. These heterogeneous databases are integrated without losing the consistency of the data by maintaining the business standards; such a challenging task is to be achieved with the development of ETL (Extract, Transform and Load) model. The ETL tool whose is based on ETL process can merge the data and product purchase history of different users stored in various heterogeneous databases. So it helps to improve the decision making process of users by providing recommendations about items or products which a user may wish to utilize in future. Thus, it is help to improve and achieve the business intelligence for any system.

    Citing this Journal Article :

    Nilesh Subhash Mali, Sachin Bojewar, "A recommender system using data stored in heterogeneous database", https://www.ijltet.org/journal_details.php?id=910&j_id=3604, Volume 8 Issue 1 - January 2017, 380-384, #ijltetorg