ABSTRACT
Educational institutions seek to find optimal ways to provide educational services with the need for alternative solutions due to the requirements of the Covid-19 pandemic. The current study proposed a system that aims to identify the most critical new technologies built on Web-GIS for data analysis and associated information retrieval. It presents an algorithm to analyze the spatial information frequented by the user on the campus and determine the services that target the user based on predetermined spatial information. Provide a system based on integrating location-based services (LBS) using Web-GIS through the Android platform to help campus attendees take full advantage of services information granted to them in their whereabouts. The system employs the rule extraction algorithm to give a recommendations list (using extracted rules with confidence=100% and support= 0.7 to achieve high accuracy for the most points of interest (POI) based on the user's preferences. The proposed system evaluates the given recommendation and the application usage to produce satisfactory results. The average overall F-measure and accuracies are 94.8 % and 94.2, respectively. © 2022 Little Lion Scientific