About this page

Create recommendations based on implicit feedback with a matrix factorization model  |  BigQuery  |  Google Cloud

https://cloud.google.com/architecture/building-a-recommendation-system-with-bigqueryml

“Create recommendations based on implicit feedback with a matrix factorization model This tutorial teaches you how to create a matrix factorization model and train it on the Google Analytics 360 user session data in the public GA360_test.ga_sessions_sample table. You then use the matrix...” (from the page’s text)

Topic
Not categorised yet
Quality
Not rated yet
Language
English
Text on page
11,932 characters
Page size
516 kB
Answered
OK (200), HTML
Last read
8 Jul 2025
In our index since
8 Jul 2025
Safe search
Not checked yet
Links to it
1 link from 1 site

More from cloud.google.com

This site's best pages we know: ranked by how many other sites link to them.

All pages from this site ›

Tools for this page

Other sites that can tell you more. Plain links: we don't track where you go.

Archive

About the site

Discussions

For web makers

“Not rated yet” and similar notes are shown on purpose: we say what we haven't measured, so the page doesn't look emptier or better than it is.