[Discussion] Unique uses of recommendation systems?

• mixed-naive-bayes

  1 63 2.5 Python

  Naive Bayes with support for categorical and continuous data

Some of the features are categorical, such as request type (is it about troubleshoot, price request, etc.), product, language, SLA, etc.; and some are continuous, namely an embedding vector generated from the ticket free form text. Then we use this library that allows the training of a Naive Bayes model using mixed type of features (categorical and continuous).

• InfluxDB

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