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Conversational Recommender Systems (CRSs) are intelligent E-commerce applications that interactively assist online users by following a default recommendation strategy. Typically, the strategy remains hard-coded during the interaction, thus making it impossible for CRSs to adapt to the dynamic user needs. In a previous paper, we have proposed and validated a novel technology that allows CRSs to autonomously...
It has become apparent to researchers that traditional approaches are not sufficient to foster trust for today's pervasive online businesses. Individuals and businesses are adopting e-commerce as means of resources, improvements and generating revenue. As online transaction increase, it is important to understand why users still reserved on conducting business online. This research aims to overcome...
In the literature, long-term user models are used to provide personalized interactions in ecommerce web sites. The growing numbers of online users and massive number of different products, demand not only user models, but also well-organized product information in order to find the products that an individual may like. Although such knowledge engineering is a time consuming task, its reusability reduces...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.