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For MVP I guess it will be enough to have click-focused ranking. In the future we may have something more user-configurable.
As this one should be more suitable for production usage.
It can be useful to locally play with the tool, when distributes setup is not needed.
So you put a number there, and it will emit a set of percentiles over a sample of last input data. Can be useful in cases like blog posts, when...
So you can directly map a numerical vector coming from outside (like low-dimensional doc2vec item description embedding) directly as a feature value.
Nothing is stopping Metarank from importing historical events from kafka/pulsar apart from CLI options: * expose the way to pull events from such storages * update docs