Behavior Analysis Using User's Search History Through Machine Learning

This study gathers information on users' search queries and website visits over six months to examine trends in users' search behavior. Web analytics software is used in the study to monitor 1000 participants' search queries and website visits. Natural language processing and machine learning techniques are used in data analysis to find user search behavior trends over time. The study's findings will provide valuable information about how users interact with online content, allowing website designers and search engine optimization experts to create more user-friendly websites and boost their visibility in search engine results. Moreover, internet advertising can be more precisely targeted, leading to more effective and successful marketing campaigns, by analyzing trends in consumers' search activity.