I completed the task of training a recommendation system model by referencing SparseEnNet (https://github.com/junyachen/sparseennet).
I organized the Kuai dataset (https://kuairec.com/) as the training dataset for the model.
homewk.txt references the Kuai dataset and constructs it into a user-video sequence. The construction process is as follows: video IDs are grouped based on user IDs, thus forming a sequence chain of user-video interactions.
This document explains the process of how I integrated the Kuai dataset.
In this document, you can see how to train and test the model through the instructions.
This document contains my notes while reading the literature and code.