tALSModel - 7.0

Machine Learning

Talend Documentation Team
Talend Big Data
Talend Big Data Platform
Talend Data Fabric
Talend Real-Time Big Data Platform
Data Governance > Third-party systems > Machine Learning components
Data Quality and Preparation > Third-party systems > Machine Learning components
Design and Development > Third-party systems > Machine Learning components
Talend Studio

Generates an user-ranking-product associated matrix, based on given user-product interactive data.

This matrix is used by tRecommend to estimate these users' preferences.

tALSModel leverages Spark to process a large amount of information about users' preferences over given products.

It receives this kind of information from its preceding Spark component and performs ALS (Alternating Least Squares) computations over these sets of information in order to generate and write a fine-tuned product recommender model in a given file system in the Parquet format.

For more technologies supported by Talend, see Talend components.