Context filtering

Context filtering, often used in fields such as information retrieval, data analysis, and machine learning, refers to the process of selecting or prioritizing data based on the specific context in which it is being evaluated or used. This concept can be applied in various scenarios, including: 1. **Information Retrieval**: In search engines or databases, context filtering helps improve the relevance of search results by considering factors like the user's location, search history, preferences, and the specific nature of the query.