Personalized search system

Abstract

Systems and methods are directed providing a personalized search experience. The system receives a broad term query and identifies a plurality of search results, each having a corresponding embedding. The plurality of search results are clustered into embedding clusters. The system then presents a set of prompts whereby each prompt comprises a display of two or more search results, each chosen from a different embedding cluster. With each selection from a prompt, the system narrows down on one or more embedding clusters. Individual search results from the narrowed-down embedding cluster(s) are then displayed and a user can provide an indication of like or dislike. With each indication, the system dynamically updates a user preference embedding that represents an item that the user desires. The updated user preference embedding is then used to identify updated search results having closest corresponding embeddings to the user preference embedding.