Scoring is the process where we determine how well a query matches against a document. This can be based on the relevance of the query against the text it matches or based on a logic that we are interested in. For example, during a restaurant search on a site like Zomato, the closer the restaurant is, the better the match. In another instance, in a news search, a mix of recent news and a specific topic would give a better match.

We will look at how custom logic can be introduced in scoring in the later part of this chapter. In this section, we will discuss how scoring is done on text based on the query text.

There are three main factors that determine the score of a query against a text field, which are as follows: