An efficient cloud based framework for Web recommendation systems
Kartik Menon, Varghese Paul, M. Sudheep, Ratan Kumar · 2014
Abstract: In this era of online and social network revolution, to have an efficient system which recommends good web sites of interest to users is a need of the time. The proposed system accomplishes this by analyzing the user's browsing habits. The system is based on web usage mining concepts, which analyses the user's web usage statistics and data mining tasks like clustering. Here the browsing habits of a group of users are analyzed and the users are grouped to different clusters in the server such that the users in the same cluster have similar browsing habits to visit similar web sites. The core idea is the system will recommend the frequent web sites visited by other users in the same cluster to a typical user of a cluster. The entire system is implemented over a cloud framework of many users and a cloud server based on the Google App Engine.