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Lectures, Informatics Colloquia, and News
22 MayInformatics Colloquium 22. 5. 2018, 14:00 lecture hall D2 Mouzhi Ge, Ph.D., FI MU Recommender System Research in E-Commerce Abstract: Over the last decade, recommender systems have been widely applied in e-commerce, for example, video recommendations in Youtube, book recommendation on Amazon, and movie recommendation on Netﬂix. Recommender systems are developed to help users ﬁnd relevant products that may interest them. The goal of recommender systems is to reduce the information overload and provide personalized recommendations for users. In this talk, I will discuss the state-of-the-art research of recommender system in E-Commerce, which includes rationale and algorithms inside the recommender black box, important features and evaluations in recommender systems. Finally, a real-world food recommender system project in E-Commerce will be described and demonstrated to show how to construct and evaluate the recommender system in practice, as well as possible challenges that are related to the food recommender systems.
"I'd like to thank our academics and students, particularly our doctoral students, for publishing work that has seen the Faculty of Informatics ranked first out of 55 institutions in the area in disciplinary comparisons published by IDEA CERGE in Oborová publikační výkonnost pracovišť výzkumných organizací v ČR v letech 2009-2013.Prof. Jiří Zlatuška
FI MU Dean