Informatické kolokvium 22. 5. Recommender System Research in E-Commerce
Informatické kolokvium 22. 5. 2018, 14:00 posluchárna D2
Přednáška se koná v rámci habilitačního řízení
Mouzhi Ge, Ph.D., FI MU
Recommender System Research in E-Commerce
Abstrakt: 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.