tRecommend
Recommends products to users known to this model, based on the user-product recommender model generated by tASLModel.
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 1.3.0 and later versions are supported.
For more technologies supported by Talend, see Talend components.
Depending on the Talend product you are using, this component can be used in one, some or all of the following Job frameworks:
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Spark Batch: see tRecommend properties for Apache Spark Batch.
The component in this framework is available in all Talend Platform products with Big Data and in Talend Data Fabric.
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Spark Streaming: see tRecommend properties for Apache Spark Streaming.
This component is available in Talend Real Time Big Data Platform and Talend Data Fabric.
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