报告题目:From Decision Support Systems to Recommender Systems

报告所属学科：管理科学与工程

报告人：Prof. Pascale Zaraté(Toulouse 1 Capitole University)

报告时间：2019年11月21日 14:00

报告地点：将军路校区经管楼403室

报告摘要：

Decision Support Systems are designed to support decision makers facing unstructured problems. They were developed to interactively simulate the problem in order to propose to the user part of the solution. Recently, they have evolved into recommender systems, for which a user profile is defined. Recommender systems dynamically aim at mining users’ preferences, in order to propose to the decision makers solutions which are as near as possible to their needs. For this purpose, machine learning techniques are applied.

报告人简介：

Pascale Zaraté is Professor at Toulouse 1 Capitole University, and conducts her research at the IRIT laboratory in the Artificial Intelligence departement.

Pascale Zaraté’s current research interests include: Decision Support Systems; Group Decision Support Systems; Cooperative Decision Making.

She is the editor-in-chief of the International Journal of Decision Support Systems Technologies (Ed IGI Global).