In the earlier chapters, we set the stage for creating our implementations of recommendation engines. In this chapter, we will implement our first recommender system on a products dataset. Here we continue with the following topics:
Let's start by downloading the SNAP Amazon dataset from this page https://snap.stanford.edu/data/amazon-meta.html. First go to the
datasets folder, download the file, and decompress it. Note that this file is about 2002 MB compressed and 933 MB uncompressed; it could take some time to download:
$ cd datasets/ $ wget ...