© Manuel Amunategui, Mehdi Roopaei 2018
Manuel Amunategui and Mehdi RoopaeiMonetizing Machine Learninghttps://doi.org/10.1007/978-1-4842-3873-8_10

10. Recommending with Singular Value Decomposition on GCP

Manuel Amunategui1  and Mehdi Roopaei2
Portland, Oregon, USA
Platteville, Wisconsin, USA

What to watch next? Let’s recommend movie options using SVD and the Wikipedia API on Google Cloud.

In this chapter, we’re going to build a movie recommender web application (Figure 10-1) using the MovieLens datasets containing, “100,000 ratings and 1,300 tag applications applied to 9,000 movies by 700 users.”1 We will explore different similarity-measurement techniques and design a recommender application using singular value decomposition (SVD) and collaborative ...

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