tRecommend

Recommends products to users known to this model, based on the user-product recommender model generated by tALSModel.

tRecommend uses a given recommender model to analyse user data incoming from its preceding Spark component so as to estimate the preferences of these users.

In local mode, Apache Spark 2.4.0 and later versions are supported.

This component is not shipped with your Talend Studio by default. You need to install it using the Feature Manager. For more information, see Installing features using the Feature Manager.

For more technologies supported by Talend, see Talend components.