Extracting relationship between browser history items for improved client-side analytics and recommendations

Abstract

Web browsers are one of the most used client-side software in today’s world and maintaining the details of the user’s search is one of the primary tasks of today’s browsers. However, the browsing history management methodologies that are currently used to save and visualize the details of the user’s search can be improved by a great extent to make it a lot easier for the user to browse data over the internet. The techniques used by the modern browsers in doing so are, to an extent, inefficient due to the fact that they only show a serial list of URLs the user queried for and the time at which they were queried with no details of how the user actually ended up reaching a particular page. The primary issue with such methodologies is that the browsers do not maintain the details of the relationship between various history items. This paper provides a solution to this issue with a practical implementation of a client-side browser history management extension that solves the above-mentioned problems and hence describes how the user’s browsing experience can be enhanced.