MUSIC RECOMMENDATION ENGINE PRIME NUMBER REST API

Music Recommendation Engine

Mezurashico's Music Recommendation Engine is a cloud service and platform for generating personalized music recommendations based on users' media libraries.

The Music Recommendation Engine integrates into your existing application ecosystem on mobile, web, and PC to provide product placement and monetization while providing a value-adding service for your users.

Platform components

The Music Recommendation Engine has three major components:

• Analytical Intelligence Engine – analyzes publicly available information to distill the core knowledge data within, using advanced natural language processing and artificial intelligence algorithms.

• Cloud API Frontend – handles client requests and integrates user feedback into the knowledge data, hosted on a scalable cloud platform.

• Client App SDK – while client apps can access the API Frontend directly, the SDK makes integrating the Music Recommendation Engine into an existing media ecosystem smooth.
  (Available for Android; Windows and iOS under development.)

Product highlights

• Comprehensive knowledge base spanning gigabytes of distilled music data.
• Scalable cloud architecture ensures responsive service and high availability as install base grows.
• “#Hashtag Analyzer” quickly picks up trends from social media streams and instantly integrates them into recommendations.
• Easy to understand web API allows the Music Recommendation Engine to be rapidly deployed to your existing application ecosystem.
• SDK for rapid development on supported platforms, this means integration into a media app such as a music player or library organizer is a matter of a few days' engineering time.
• Monetization through affiliate arrangements, sponsored or priority recommendations of particular products, mining of comprehensive database of music preferences, etc.
• Customization for your needs, which can include specific requirements for recommendation results bias, integration with existing systems or 3rd party or social media systems, hosting of parts of the system on your own servers, database customizations, custom feedback systems, etc.
• Language agnostic, but optimized for Western languages and Japanese language. Optimizations for other languages can be added based on demand.
• Social networking integration that can integrate with 3rd party services such as Facebook, Spotify, Pandora, Twitter, Last.fm, and more.

Platform architecture

This slide contains an overview of the platform architecture and data flow of the Music Recommendation Engine.


Click to enlarge.

Inquiries

If you are interested in learning more about this product, or would like to discuss integrating this service into your application ecosystem, please use the contact email address cticscaonosthattnccetia@nmotueszhcnutrnahrstazchniocz.co@czco.