• We'll investigate how Google's 'Did you mean?' algorithm works. First, we'll look at what the user sees while performing Google searches. After that, we'll look at the theory behind the backend algorithm. In addition, we'll learn how to take advantage of user behaviour to get users to label data for natural language processing jobs.
• We'll learn how a search engine can guess the query search that a user mistakenly misspelt at the end of this session. Google's system for guessing a user's desired query when they mistype the search terms works quite well. Let's say a person uses Google to look up a word but accidentally misspells it:
• In that situation, the search does not return the user's literal question. Instead, it employs the query that most closely matches the user's intended text:
• This works for all search phrases in a systematic manner. When a typing error isn't critical, the search returns the most likely desirable results automatically. It also disregards the user input's literal substance. When the misspelling is more serious, it displays a red warning along with a suggestion for a possible correction:
• It does, however, perform our literal search and provide the appropriate result.

Read More: How can I avoid Google's did you mean algorithm?