Paper Info
Title
A Classification Method of Photos in a Tourism Website by Color Analysis.
Abstract
The number of Foreign Independent Tour (FIT) is increasing in the world. This research aims to develop a personal adaptive tourism recommendation system (PATRS) for FIT. This paper describes the concept of PATRS and related researches. In order to develop the PATRS, an easy feature extraction method from a tourism website is required. The classification of photos of tourism spots is an important technology to realize the feature extraction from numerous information in the website. This paper proposes a classification method of photos in a major tourism website by color analysis. From the results on the experiments, we confirmed that the photos in a tourism website can be classified into four classes by the proposed method.
Year
DOI
Venue
2019
10.1007/978-3-030-22999-3_24
ADVANCES AND TRENDS IN ARTIFICIAL INTELLIGENCE: FROM THEORY TO PRACTICE
Keywords
Field
DocType
Classification method,Tourism recommendation system,Color analysis,Feature extraction
Recommender system,Information retrieval,Computer science,Tourism,Feature extraction,Color analysis
Conference
Volume
ISSN
Citations 
11606
0302-9743
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Jun Sasaki155.51
Shuang Li24814.14
Enrique Herrera-Viedma313105642.24