Recommender System for E-Business Website

The main objective of this project is to provide a recommender system for e-business website that give suggestion of items to the customers based on their preference. The scope of study for this project are the combination of theory of recommender system, e-business website function, analyzing preference of customers based on collaborative filtering algorithms and developing the recommender system for e-business website. A set of questionnaire distributed to a group of people to study more on recommender system from the user’s point of view. By using collaborative filtering algorithms, the suggested items of an active user will be predicted based on the ratings of the items by the previous users that have the most similar preferences with the active user. This project using Rapid Application Development (RAD) methodology in developing the prototype as it is the most suitable methodology with the less of 10 months execution time to finish the project. The Gantt chart and key milestones also included to keep track the progress of the project. In results and discussion, the analysis of the survey distributed is discussed and the simulation of recommender system using a web based prototype also discussed in the same chapter. As conclusion, the suggested future work for expansion and continuation in implementing this project also included.