Product Recommender System E-Commerce Application Using Genetic Algorithm

Abstract With a large amount of products available to purchase in an e-commerce website, these website owners will face a challenge where customers might have a difficulty on choosing the right products for them and these website owners also need to promote their products to the right audience. Therefore, a recommender system will be developed to help the website owners giving a product recommendation for their customers based on the category of the products as an approach using Genetics Algorithm and Fuzzy Sets. In this study, the fuzzy set algorithm is used to determine the suitability of product rankings between the ranking of the categories to be recommended and then these results can be continued using genetic algorithms to find a set of products that have the appropriate suitability values for use as the final output which is the actual set of products that will be recommended to the customers.