In the beginning of this chapter, we learned what scoring is and how Elasticsearch uses the scoring formula. When an application grows, the need for improving the quality of search also increases - we call it search experience. We need to gain knowledge about what is more important to the user and we see how the users use the searches functionality. This leads to various conclusions; for example, we see that some parts of the documents are more important than others or that particular queries emphasize one field at the cost of others. We need to include such information in our data and queries so that both sides of the scoring equation are closer to our business needs. This is where boosting can be used.