Kitchen Appliance Recommendation based on User Profile and Interest Evolution Network

Abstract

As a category of many products, kitchen appliances have unique labels, such as kitchen, food processing, cooking, kitchen hygiene, etc. At the same time, when users browse and purchase products, kitchen appliances have their own evolutionary process. It is a very meaningful task for users to recommend kitchen products that they are interested in. This article uses user profile containing potential interests and the interest evolution network to simulate the process of user interest changes, and then infer the category of kitchen appliance that users may be interested in next time, and in this process, a module is designed to narrow the distance between the interest state and the real interest to make the extracted interest state closer to reality.