Information Filtering

Information filtering is the process of sorting and selecting relevant information from a large dataset to meet specific needs or preferences. In digital contexts, it helps users receive only the most pertinent content, such as personalized news feeds, email spam filters, or product recommendations. By analyzing patterns and user behaviors, filtering systems reduce information overload, ensuring that users efficiently access meaningful and tailored information without being overwhelmed by irrelevant or excessive data.