Development of an Internet-Based Information/DataResource Platform during the COVID-19 Pandemic Using Hierarchical Clustering

there is heavy usage of Internet-based information resource platformsdue to the COVID-19 pandemic. If it can present search results as a list groupsof related terms and context, that would be ideal. An additional enhancement display in classified manner. Therefore, research proposing an effective efficient retrieval system. The methodology adopted follows conventional Information Retrieval (IR) system design except Cosine similarity hierarchical clustering were introduced for result ranking. Average Precision proposed was compared with flat such K-means. evaluation shows improved precision, being10% better than result. This led greater usability, userexperience,and efficiency