Understanding relevance in search results is complex, as it varies from person to person. The scoring model, rooted in decades of academic research, assesses the relevance based on the user's query. With upcoming enhancements, users will have the flexibility to implement their own scoring models, while the traditional vector space model offers a mathematical approach to determine document relevance through angle calculations.
