microsoft cognitive - Does the Recommendation service allow enriching an existing model with new data? -


we able provide initial training model , ask recommendations. when asking recommendations can provide new usage events. these persisted @ model? manipulate model @ all?

is there way data supposed updated or need retrain new model every time want enrich model?

https://azure.microsoft.com/en-us/services/cognitive-services/recommendations/

edit: trying use "recommendations solution template" deploys solution azure , provides swagger endpoint working model (https://gallery.cortanaintelligence.com/tutorial/recommendations-solution)

it appears cognitive services api richer this. can swagger version's models updated?

after more experience discovered few things of august 21st, 2017:

  1. while not intuitive uninitiated, new data requires training new model data persisted model.

this allows form of versioning model, , means when make new models can switch recommendations work how did before if don't work well.

the recommended method appears to batch usage data , create new builds of model on interval.

the apis allow passing in recent usage data allow recent data accounted @ scoring time, it's not persisted.

the "upload usage events" call in cognitive services api not seem work. uploading new usage data via file appear work.

  1. the recommended solutions template vs. cognitive services api

it appears recommended solutions template packaged version of sar (smart adaptive recommendations) model inside cognitive services api optimized ease of use.

i'm presuming other popular recommendation models fbt cognitive services api should used deployable template allows 1 model type.

  1. additional note on preview status of api

it seems microsoft deprecating datamart of february , sending people preview api instead. therefore seem reasonable presume preview highly move on past preview , not killed.


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