👉 FAQ computing, or FAQ-based computing, refers to the application of artificial intelligence (AI) and natural language processing (NLP) techniques to automate the creation, management, and utilization of frequently asked questions (FAQs) within computing systems. This approach enables systems to understand, interpret, and respond to user queries related to software functionality, troubleshooting, or general computing tasks in a conversational manner. By leveraging machine learning models and knowledge graphs, FAQ computing can dynamically generate and update FAQs based on user interactions, system logs, or predefined rules, thereby enhancing user experience through personalized and context-aware responses. It also facilitates the maintenance of up-to-date knowledge bases, reduces manual effort in FAQ management, and improves system efficiency by providing quick and accurate solutions to common user problems.
