Apriori Algorithm Based Exam Information Service Web App Design

This academic paper presents the design and implementation of an Apriori Algorithm-Based Exam Information Service Web App. The web app aims to provide personalized recommendations and valuable insights to users to enhance their exam preparation process. The system architecture, data preprocessing techniques, Apriori algorithm implementation, and evaluation of system performance and user satisfaction are discussed in detail.The system architecture of the web app is designed to efficiently retrieve exam-related information and generate personalized recommendations based on user preferences. The components and functionality of the system are outlined, emphasizing the importance of data preprocessing, association rule mining, and recommendation generation.The results of the evaluation indicate that the Apriori Algorithm-Based Exam Information Service Web App shows promising performance. The recommendation system achieves high precision and recall, indicating the relevance and retrieval of relevant recommendations. The coverage metric demonstrates the system's ability to recommend items from a diverse set. User satisfaction ratings further validate the effectiveness of the system in meeting user needs and expectations.