Recommendation System for Wedding Service Organizer using Content-Boosted Collaborative Filtering Methods

Abstract

The utilization of smartphones that grow continuously is as a result of the changing lifestyle from the peoples in the growing digital world era. This condition can be seen on the large penetration of smartphones in half of the world society. The high smartphones utilization can increase the chance of many businesses, especially in online businesses that are used for promotions and transactions. The efficient and effective process become the main issues in technology development. One example is to meet the needs of wedding services in online business, which most users still have difficulties or need more time in finding the product as desired. Therefore, a recommendation system concept is applied in this research that is able to help the process of product promotion or searching specifically related to new products and involve new users. The content-boosted collaborative filtering method is used in these systems that is implement two previous methods, namely content-based that is used to form a full product rating matrix by a user, while collaborative filtering is used to make recommendations. Based on the experimental results that the system can recommend with 69% accuracy and helpful especially for newly added items or newly registered users.