H&M Recommendations Challenge - Part 1
February 17, 2022
So in the past couple of weeks a Kaggle challenge has been opened up with the task of creating clothing recommendations based on a dataset from H&M. The data consists of images of all the items, user info and item info. Over the course of the next few weeks I’ll be looking at how we can combine multiple different methodologies to create insightful recommendations. I’ll start in this post by loading the data into a Neo4j database and doing some exploratory data analysis and in subsequent posts look at how we can use graph databases for recommendations and how we can incorporate the image data using image embeddings from pre-trained neural networks.