Semantic Web based Recommendation System in E-Commerce Websites

Abstract

World Wide Web, an online platform via which we can access and share information. It has become need of the hour because of the recent trend of e-commerce in the market. In order to survive in this competitive world and to make business out of it, these e-commerce websites are required to use such algorithms and tools, by which the user’s behavior pattern can be traced, mined, analyzed, and predicted for the requests he will make in future. This requires some techniques by which the process of decision making can be improved and the users are provided with the desired results. Because of the huge data available, the analysis of user’s behavior becomes very tricky. So, there is a need of some innovation in the web analysis process. In this paper, a novel way for recommendation system based on ontology has been proposed, which shows a great improvement over the traditional recommender system in terms of recall and precision.