Product Ranking

DiveDeepAI has developed a platform which helps in e-commerce products searching and ranking on a website. It finds the product code and description from scraped data available on several e-commerce platforms. Moreover, our programmers used Spacy library to verify the product code and description. To achieve this similarity function of Spacy library was used. This framework gives user a number in between 1-10 based on similarity of the results to original values. Ranking of the results is based on these numbers scale. There are multiple endpoints named as get_stats, rank_new, rank_old and etc. These are POST commands catering different types and formats of input data.