Recommender System for Virtual Assistant Supported Museum Tours

被引：0

作者：

Tavcar, Ales ^{[1
]}

Antonya, Csaba ^{[2
]}

Butila, Eugen Valentin ^{[2
]}

机构：

[1] Jozef Stefan Inst, Dept Intelligent Syst, Jamova Cesta 39, Ljubljana, Slovenia

[2] Transilvania Univ Brasov, 29 Eroilor Blvd, Brasov, Romania

来源：

INFORMATICA-JOURNAL OF COMPUTING AND INFORMATICS | 2016年 / 40卷 / 03期

关键词：

virtual assistants; language processing; cultural heritage; recommender systems; artificial intelligence;

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Personalization technology and services have been widely adopted in many domains, especially on various web platforms. This kind of technology is also finding its way to cultural heritage applications since it can broaden the interest for visiting cultural sights. Recommendation systems suggest to users some specific domains that they might be interested in but were unfamiliar with due to their lesser popularity. In this paper we propose a web service for virtual museum tours that is based on intelligent virtual assistants that can learn user preferences and provide recommendations regarding museum exhibitions.

引用

页码：279 / 284

页数：6

共 12 条

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