This project has been jump-started as a playground to solve the problem of ranking algorythm. The goal is to explore efficient ways to preprocess text data and automate pipeline once procedures are determent. The original data and challange itself can be found on Kaggle competition Home Depot Product Search Relevance
Some insights and explanations about metodology can be found in related blog post PyTorch use-case: search results ranking