Building Production Recommendation Systems in Python and JAX (for True Epub) by Bryan Bischof and Hector Yee

Author:Bryan Bischof and Hector Yee
Language: eng
Format: epub
Publisher: O'Reilly Media, Inc.
Published: 2023-05-03T00:00:00+00:00

Here we use the absl flags library to pass in arguments to the program such as the path to the json catalog file that contains the shop the look scene, and product pairs.

Flags can have different types like string and integer and you can mark them as required. If a required flag is not passed to the program the program will complain and stop running.

Flags can be accessed via their value method.

We load and parse the STL dataset using the Python library json and then we randomly shuffle the catalog and dump the top few results in html.

You can run the random item recommender by running the following command

python3 random_item_recommender.py --input_file=STL-Dataset/fashion-cat.json --output_html=output.html

After completion you can open the output.html file with your web browser and see some random items from the catalog. A sample of this can be seen in Figure 5-1.

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