AWES: Adaptive web exploration system based on similar user behavior and multiperspective thinking

Abstract

Internet users in the current digital age are increasingly using world wide web not only for entertainment but also for accessing information related to different topics. Our system aims at developing a web based environment that brings most of the information required by a user at one place. When a user searches a topic on the web, a lot of results are shown to the user which may or may not be relevant to the user. In our system, a user will be able to create shared bookmarks and save the links which would be relevant, so the user can access those links later also. Moreover when a user will search for a topic, the results shown to the user will be intelligently selected from the results that are searched by different users. This system will use concept of multiperspective thinking as well as implementation of intelligent user behavior for showing relevant links for a topic.