Dynamically filtering search results using contextual user interaction data
Topics: AI (Deep Learning), Microsoft, Probably in use, Ranking, Reranking, Search Query Processing, User Signals
The Microsoft patent describes a system and method for dynamically filtering search results based on user interactions. The system presents initial search results to a user and collects data on how the user interacts with those results, such as scrolling behavior or which results they select. It then uses this interaction data to automatically generate filter rules that can be applied to refine the search results. The system prompts the user to accept or reject the suggested filters before applying them. This allows the search results to be dynamically refined based on implicit user feedback as the user reviews the results, without requiring explicit query refinement from the user. The goal is to more quickly surface relevant results by learning from the user’s browsing behavior.