An Argumentation-based Conversational Recommender System for Recommending Learning Objects Extended Abstract

被引：0

作者：

Palanca, Javier ^{[1
]}

Heras, Stella ^{[1
]}

Rodriguez Marin, Paula ^{[2
]}

Duque, Nestor ^{[3
]}

Julian, Vicente ^{[1
]}

机构：

[1] Univ Politecn Valencia, Valencia, Spain

[2] Inst Tecnol Metropolitano, Medellin, Colombia

[3] Univ Nacl Colombia, Manizales, Caldas, Colombia

来源：

PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS (AAMAS' 18) | 2018年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we present an argumentation-based Conversational Educational Recommender System (C-ERS), which helps students to find the more suitable learning resources considering their learning objectives and profile. The recommendation process is based on an argumentation-based technique, which selects those learning objects (LOs) for which it is able to generate a greater number of arguments justifying their suitability.

引用

页码：2037 / 2039

页数：3

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