How would you go about building a content based recommendation system with reinforcement?

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Recommender Systems C++ Python nearest-neighbor-search locality-sensitive-hashing

WorkOS
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  • annoy

    Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

    Spotify develops Annoy for its internal recommender systems. Vector similarity search for clustering as well as ANN model tracing over the vector pool.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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