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AI makes the machines learn automatically from their experiences [31]. In the query suggestions approach, the role of AI is crucial, as the increased usage of the mobile and handheld devices makes us work in this domain. The mobile devices are used for personalized purpose, it contains lot of user-related and meaningful data and their preferences. These devices will make the personalized data and the location of the user. Based on this data and preferences of the user, the AI component will suggest the query and recommends the user. The preferences may vary from time to time and location wise. It is crucial in analyzing and gathering data to prepare the query suggestion. The inclusion of the location may vary the preferences of the user. As the AI agent will know the location, it will suggest the query.

The advancement in the AI industry with the rapid developments of computing power makes it more powerful. Deep learning algorithms work more effectively based on the availability of huge data. These models make the system can prepare more accurate queries based on the sequences. Location-based queries become more important with the rapid usage of the mobile devices. Based on this, the right information is delivered to the right people, at the right time [29]. In most of the cases like the emergency responses also served based on the locations of the user [30].