Семинар из вештачке интелигенције, 1. децембар 2021.

Наредни састанак Семинара биће одржан онлајн у среду, 1. децембра 2021. од 19 до 20 часова.

Предавач: prof. Sang-Wook Kim, Department of Computer Science & Engineering, Hanyang University, Seoul, Korea


As the number of online items such as products, contents, and people significantly grows these days, it becomes a difficult task for users to find the items on their own. Good matching of users to their suitable items is very important to enhance users' satisfaction and companies' profit, which highlights the necessity of recommendation systems technology. The recommendation system analyzes the characteristics of users' past behaviors, predicting the items with which individual users would be truly satisfied. In this talk, we discuss the concepts, techniques, and applications of recommendation systems. We start with the concepts of recommendation systems and introduce real-world applications in a variety of business fields. Then, we explain three categories of approaches to recommendation systems: content-based, collaborative-filtering-based, and trust-based approaches.  Next, we describe machine learning techniques widely applied in developing recommendation systems. Finally, we share the state-of-the-art techniques developed in our group and show their effectiveness and efficiency with evaluation results. The agenda of this talk is organized as follows.

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