Abstract
An information retrieval system for college search is a crucial tool for students to find the best college for their academic needs. The system uses text mining, web mining, data mining, machine learning, and semantic web techniques to provide relevant and accurate results to users. The system collects data from various sources such as college websites, student reviews, and academic databases to create a comprehensive database of colleges and their relevant information. Users can search for colleges based on their preferences, such as location, academic program, admission requirements, tuition fees, and other factors. The system also provides personalized recommendations based on the user's search history and preferences. The proposed system aims to improve the college search process for students by providing a user-friendly interface and accurate information to make informed decisions about their education.
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