A choice based recommendation system using WUM and clustering
Deptii Chaudhari, Nikhil Agnihotri, Shreejith Nair, Pankaj Dandwani, Swapnil Kulange · 2016
Large amount of content in the websites today has made it difficult for the user to access the data which he wishes to view. Also, if the data is of different types like images, videos etc, the webmasters are bound to load the appropriate content which the user wants instead of loading all the data in any random manner. So, what we can do is, use the web users access logs and evaluate the logs using data mining techniques which can be called Web usage Mining (WUM), and along with that we can rank the data on the basis of the number of views the data has received.