Proposal of Sentiment-based Tourist Spot Recommendation System Using RDF Database

被引：0

作者：

Sakamoto, Yosuke ^{[1
]}

Takama, Yasufumi ^{[1
]}

机构：

[1] Tokyo Metropolitan Univ, Grad Sch Syst Design, 6-6 Asahigaoka, Hino, Tokyo 1910065, Japan

来源：

2017 IEEE 10TH INTERNATIONAL WORKSHOP ON COMPUTATIONAL INTELLIGENCE AND APPLICATIONS (IWCIA) | 2017年

关键词：

Smartphone Application; Recommendation; Sentiment Mining; RDF; Tourist spot recommendation;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper proposes a system that recommends tourist spots around the current location relating with the sentiment selected by the user. This system collects tweets and comments about tourist spots from Twitter 1 and Yelp 2, and calculates 10 kinds of emotional scores such as "joy" and "angry" for each spot. Those scores are stored in a RDF (Resource Description Framework) database and used for spot recommendation. Effectiveness of the system is evaluated by applying it to tourist spot recommendation in Nakano (Tokyo, Japan). This paper reports the experimental result in terms of novelty.

引用

页码：61 / 66

页数：6

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