Singulariti combines enterprise class intelligence with industry specific customization to create applications that are ready to move into production and deliver value immediately.
In current era, the choice for music is never ending for a user. To prevent the problem of information overload, there is a need to efficiently filter the content to deliver the relevant information at the right time.
In music products, predicting the chances of a song being listened by the user repetitively can help drive the business. Recommender systems have been excellent in solving this problem by searching through large volume of dynamically generated information to provide users with personalized content and services. It applies a learning algorithm to filter and exploit the user’s features from the feedback gathered in information collection phase. They have the ability to recommend new items even if there are no ratings provided by users.