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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.