ONLINE
RECOMMENDATION
OF MUSIC
Kalyani Nerella
Business Analyst. Electronics & Telecommunication Engineer
THE BACKGROUND
WORLD OF RECOMMENDERS SYSTEM
The explosive growth in the amount of available digital information and the number of visitors to the Internet have created a potential challenge of information overload which hinders timely access to items of interest on the Internet. Information retrieval systems, such as Google, DevilFinder and Altavista have partially solved this problem but prioritization and personalization (where a system maps available content to user’s interests and preferences) of information were absent. This has increased the demand for recommender systems more than ever before.
THE OBJECTIVE
FIND ASSOCIATION RULES TO RECOMMEND MUSIC
Online radio keeps track of everything we play. It uses the user’s information for recommending music that are likely to enjoy & supports focused marketing that sends you advertisements for music you are likely to buy. Why waste scarce advertising dollars on items that customers are unlikely to purchase.
