Systems and methods for deep learning model based product matching using multi modal data

This invention describes a system for finding items that are good matches for a specific reference item, similar to how online stores suggest related products. It works by analyzing various types of information about the items, such as their descriptions, categories, or condition (like new or used), using a specialized deep learning system. This system compares a reference item to potential matches, calculates how similar they are, and then compiles a list of the best matches. The claims specifically focus on using text and categorical data for matching, and narrow down the types of attributes considered.