Description of Invention
This research paper presents the development and evaluation of the Web Interest Profiler (WIP) system, a cutting-edge tool designed to analyse and determine individuals' interests by leveraging advanced web crawling and scraping techniques. By gathering extensive data from online sources, the system employs robust data processing and classification methods to derive meaningful insights about users' preferences and inclinations. The core of the system’s functionality lies in its ability to systematically and efficiently mine the web, extracting relevant information that reflects the user's interests. The data collected undergoes a series of sophisticated processing stages, including filtering and classification, to ensure accuracy and relevance. The resulting information is then presented through a user-friendly interface, making it accessible and comprehensible for users of all technical backgrounds with an easy to understand pie chart. The system comprehensive approach addresses the growing need for personalized content and services in the digital age, offering a valuable tool for both individuals and organizations seeking to understand and cater to specific interests. Through extensive evaluation and testing, the WIP system has demonstrated its effectiveness and reliability in providing a detailed and accurate profile of personal interests, making it a significant contribution to the field of web-based data mining and interest profiling