Solving the Million Songs Challenge

Algolia has recently introduced a new pricing plan that provides developers with free access to all its features, including one million records. This update allows for more extensive projects without incurring significant costs. One such project is the Million Song Dataset Challenge, which involves training an AI recommendation model on the listening history of a million users. Using Algolia's Recommendations feature and a CSV file generated from the dataset, developers can now create a complementary recommendations implementation that trains an artificial intelligence to correlate records based on shared listening history. This development opens up new possibilities for building innovative projects without worrying about paywalls until they start generating revenue.