查看文章

E-commerce is becoming a major contributor to the worldwide economic system, owing to its adaptability and ease of use for both customers and service providers. Recommender systems are embedded in most modern e-commerce websites, as efficient tools for guiding users to view additional items provided by e-commerce portals. These items are matched with customers' interests depending on their current activities, or on preferences stated in their profiles. As service providers are more concerned with the long-term behavior of customers, and specifically customer loyalty (which bears directly on the long-term success of e-commerce websites), most recommender systems have been developed to consider that aspect. This study investigates the major factors in the loyalty formation of female online shoppers through an e-commerce recommender agent. A new model is introduced, developed, and analyzed for …