Context sensitive ranking
Topics: Ranking, Reranking, Scoring, Search Intent, User Signals
The Google patent describes a method for improving search engine results by using the context of user sessions to rank search results. Context-sensitive ranking is achieved by identifying user interactions with specific content, categorizing them into contexts (like shopping or news), and utilizing a contextual click model to prioritize search results based on actions taken by previous users in similar contexts. This approach aims to deliver more accurate and relevant search results by focusing on user intent and reducing the breadth of search topics to align with the user’s interests.