IJSRP, Volume 3, Issue 8, August 2013 Edition [ISSN 2250-3153]
Navneet Singh, Muhammad Rukunuddin Ghalib
Web Mining is a technique to extract useful information through web, here we are using web usage mining approach, in this mining scheme some special features are there like analyse usage data, surfing information, and Marketing information. Here we are using web usage mining algorithms to find the useful information about the users, We are providing items to the users and as per the ratings we are collecting the ontology information about the users. Users can select and give the ratings for the items, suppose we are providing movie to the users so as per the users interest users can give the ratings, Organization can check the users information. Here we are using S-PLSA algorithms for the online reviews with the help of these algorithm we can get and analyse the user interest and user behaviour. Clustering is used for the same times of items and for the sentiments, we are preparing chart for the sales information where companies can check the sales information, and predict the sales information for future .We are gathering the overall ratings and we are using Collaborative filtering for the result which is given by the user through web mining technology, users can select the items as per own choice and through the payment portal they can pay the amount also. Organizations can check the review details and they can prepare better strategy for the future.