II Collaborative based filtering This method of filtering provides the result based on the prediction It tries to predict the options on behalf of the customer Is a type of machine learning which has the capability to learn on its own without any guidance This can also be called as learning from experience This has two types of approaches namely Model based and Memory based a Model Based In model based filtering the structures or models are created with the help of many data mining algorithms available Different algorithms help in creating different type of structures This model is created to make prediction using various techniques like clustering Association Bayesian Network or Neural network b Memory Based Memory based filtering is different from model based filtering as they use the rating given to the product by the users is utilised for prediction The prediction is generated for each and every user irrespective of them being registered or unregistered user in the website This type of filtering uses two types of filtering techniques namely User Based or item based III Hybrid Based Filtering This is basically a technique which is combination of different other techniques like collaborative based filtering content based filtering etc
