AUDRIX - AUDIO RECOMMENDATION MIX PLATFORM

Problem Statement

One of the major problems of recommender systems in general, and music recommender systems in particular is the cold start problem, i.e., when a new user registers to the system or a new item is added to the catalog and the system does not have sufficient data associated with these items/users. In such a case, the system cannot properly recommend existing items to a new user (new user problem) or recommend a new item to the existing users

Solution

Extract audio metadata features from the audio signals and use content-based learning of the user interest, and user's friends interest in order to effect recommendation.

Key features :-

1. Stream efficiently based on the network bandwidth
2. State-of-the-art streaming player
3. Performant search engine for fast searching
4. Authentication via social auth/Oauth 2.0
5. Rich features for music player
6. Full screen player support
7. Support for hotkeys while playing music
8. Separate recommendation zone with recommendations on the fly using ML algorithms with good accuracy