BOOK RECOMMENDATION USING K-MEAN CLUSTERING AND COLLABORATIVE FILTERING

With the increase in demand of items amongst customer enhances the growth in information technology and ecommerce websites. This demand is increased due to the availability of web services Personalized preferences and decision making are generated in an application called Recommendation system using an information filtering technique. Relevant features and related items are the characteristic on which this technique works. Suggestion of items, according to user preferences is most important, so suggestion according to similarities provides suitable recommendation. The working of recommendation system for administration has been researched in recent years