Semantic Structure for E-Commerce Applications

e-commerce systems provide tremendous products to thousands of visitor 24/7. These systems still suffers from many problems such as the cold start problem, over personalization problem, privacy problem, etc. In this paper we provided a semantic structure in order to provide semantic based recommendations, which depend not only on items semantic structure but also on users´ preferences which encapsulated within the items semantic structure. We evaluated novelty, precision, and coverage of the generated semantic recommendations and we found that semantic recommendations achieved higher performance.