Recommendation and Customization
This course aims at discussing first the motivations for the introduction of recommender systems in eCommerce Web sites – easing the customer information search and discovery process, and increasing fidelity and conversion rates. The objective is to provide students with a rich and comprehensive catalogue of tools that can be exploited in the design and implementation of a personalized eCommerce application. Such a toolbox will enable students to focus on an application domain and design up-to-date information search and product recommendation components. Moreover, this course aims at providing the students with a set of methodologies for evaluating the effectiveness of the proposed technical solution with off-line evaluations and by means of user studies.
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Francesco Ricci is Associate Professor of Computer Science in the Database and Information Systems group at the Free University of Bozen-Bolzano. |