Читать книгу Computational Analysis and Deep Learning for Medical Care - Группа авторов - Страница 30

R. Ravinder Reddy1*, C. Vaishnavi1, Ch. Mamatha2 and S. Ananthakumaran3

¹ Chaitanya Bharathi Institute of Technology, Hyderabad, India

² Software Engineer, Hyderabad, India

³ Koneru Lakshmaiah Education Foundation, Vijayawada, India

Abstract

The user is interested in retrieving the more relevant and useful information from the search engines; to get this, we need an appropriate query to search. Framing an appropriate query, which is based on some suggestions, is more important in the fast-growing ICT world. In these days, the user-specific and location-based queries are more relevant. With the huge adoption of mobile and handheld devices in our regular life, the pace of search engines has changed, and every user is expecting more appropriate search results for him; based on this, many recommendation systems are working. Artificial Intelligence (AI) has changed in many aspects of the human being. In this work, we are using the AI for query suggestion based on the user relevant information, and it gives more accurate results. It has changed the query suggestion strategy. Most of the mobile and handheld devices contain user data and their preferences. The existing search engines are working based on the page rank principle. But, the perspective has changed due to the mobile devices and Global Positioning System (GPS) services, with the increased usage of location-based devices and the availability of the internet, which prompted us to work on this problem. Most of the existing search engines help the user to get the required data based on the user query, but not based on the location. The query suggestion will help the users with precise query suggestions to search on the web. While searching on the web with an appropriate query will retrieve the good results. The query suggestion is a key reason in the search engines to optimize performance. As the usage of mobile devices increased in the recent past, the query search has been reformed to the location-based query suggestion. Especially, searching the query based on a particular location will avoid the burden on the search engine and produces the more appropriate results to the user. Location-based query suggestion is crucial in these days, many of the businesses like travel, hotel, hospital, tourism, and banks required user location. The location access and awareness resolve many query suggestions based on the querying efficiency and exactness of the result. The addition of AI perspective to this location-based system makes it adaptable to human life and provides them useful information based on user location, time, and previous search information.

Keywords: Artificial intelligence, query suggestion, location-aware keyword, search engine