1.1 - 8.10 - CFilter (ML Engine) - Teradata Vantage

Teradata Vantage™ - Machine Learning Engine Analytic Function Reference

Teradata Vantage
Release Number
Release Date
October 2019
Content Type
Programming Reference
Publication ID
English (United States)

A typical input table for the CFilter function is a set of sales transactions, with a column of purchased items and a column of something by which to group the purchased items; for example, a transaction id or time stamp.

The CFilter function calculates several statistical measures of how likely each pair of items is to be purchased together. You can use CFilter output as input to the WSRecommender function, which performs item-based, collaborative filtering, using a weighted-sum algorithm, to make recommendations.