TindArt, an Experiment on User Profiling for Museum Applications

被引：1

作者：

Zilio, Daniel ^{[1
]}

Orio, Nicola ^{[1
]}

Toniolo, Camilla ^{[1
]}

机构：

[1] Univ Padua, Dept Cultural Heritage, Piazza Capitaniato 7, I-35139 Padua, Italy

来源：

DIGITAL LIBRARIES: THE ERA OF BIG DATA AND DATA SCIENCE, IRCDL 2020 | 2020年 / 1177卷

关键词：

Recommender System; User profiling; User experience; Mobile application; Museum; Cultural heritage; RECOMMENDATION;

D O I：

10.1007/978-3-030-39905-4_13

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper an Android application called TindArt is presented. It has been developed to investigate a way to profile the user in cultural contexts, through the application of Recommender Systems for museum visits in the future. The purpose of the research also includes the study of the User Experience with TindArt to understand how it could be used in a real museum context. Two pilot studies are also presented.

引用

页码：123 / 134

页数：12

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