Performance Evaluation of Knowledge Based Fuzzy Logic Collaborative Filtering Model

Due to the popularity of internet and increase in number of web user’s, e-commerce store is an important way to improve business. The most important aspect of e-commerce is to provide the customers with appropriate information or services based on the knowledge about the customers’ profile and preferences. This saves the time of on-line users for their search of right information on internet. This paper proposes and experimentally evaluates alternate model based on fuzzy logic for collaborative filtering recommender system because of the uncertainty of user’s on-line behaviour. The performance of the model is experimentally evaluated with different statistical and decision making metrics using real-world datasets.