報告題目:From Decision Support Systems to Recommender Systems

報告所屬學科：管理科學與工程

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

報告時間：2019年11月21日 14:00

報告地點：將軍路校區經管樓403室

報告摘要：

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.

報告人簡介：

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).