Recommender systems question

This page summarizes the projects mentioned and recommended in the original post on /r/MLQuestions
Machine Learning Recommender Systems Recommendation Svd

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
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.
workos.com
featured

  • Surprise

    A Python scikit for building and analyzing recommender systems

    • Scikit-surprise is a useful package and has pretty good documentation to help make the leap from conceptual understanding to code. If you want to understand the various implementations, the package is open source and available on GitHub. I can’t speak for optimal computational efficiency but I think that it’s premature to worry about that while you’re still making the transition from concept to functionality.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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