Enhancing the Personal Web Revisitation using the Context and the Content Keywords along with Recommendations

Among the various activities of the users in the web, revisiting the previously viewed web pages has become a dominant one. As the web is massive and dynamic this process is not an easy task .There are chances for the users to forget the URL and title of the viewed page after many days when they try to re-find it. This paper utilizes the humans recalling process of the past events by using the episodic memory and the semantic memory. Thus a web revisitation technique has been proposed here to recollect information from the past by using the context and the content keywords. When a user accesses a web page more than a time period, it is understood that the page has a tendency to be revisited later by the user. So by using the unigram extraction the context information like time, location and activity of the user related to the focused page and the highlighted text from the focused web page are captured and stored in the database. Later when the user wants to revisit the web page the system searches the context and the content terms stored in the database and returns a ranked list of web pages to the user. Also as an enhancement to the proposed system a recommendation of related web pages viewed by another users of similar interests are and shown.