Recommend Significant Tags to Travel Photos Based on Web Mining

Author

Wang, Jin-Yao ; Chang, Yu-Lun ; Zeng, Wei-Sheng ; Lin, Shian-Hua

Author_Institution

Dept. of Comput. Sci. & Inf. Eng., Nat. Chi Nan Univ., Nantou, Taiwan

fYear

2012

fDate

26-28 June 2012

Firstpage

84

Lastpage

89

Abstract

As the rapid development of smart phones and applications, users are familiar to take photos with smart phones on the trip and share photos to friends on social networks. Those photos are usually tagged and shared with trivial location information, such as attractions derived from mobile locations contributed from Facebook users. However, these attractions are not useful for enhancing the photo semantics. In this paper, we propose the Tag Recommendation System (TRS) that automatically mine significant tags from Flickr´s photos so that these tags can be recommended to improve the semantics of photos according to location information. Experiments based on the user experience show that TRS can achieve about 85% satisfaction rates.

Keywords

Internet; data mining; mobile computing; recommender systems; smart phones; social networking (online); Facebook users; Flickr; TRS; Web mining; mobile locations; significant tags recommendation; smartphones; social networks; tag recommendation system; travel photos; trivial location information; Blogs; Data mining; Indexes; Mobile communication; Semantics; Smart phones; LBS; information extraction; mining association; moblie application; tag recommendation;

fLanguage

English

Publisher

ieee

Conference_Titel

Mobile, Ubiquitous, and Intelligent Computing (MUSIC), 2012 Third FTRA International Conference on

Conference_Location

Vancouver, BC

Print_ISBN

978-1-4673-1956-0

Type

conf

DOI

10.1109/MUSIC.2012.22

Filename

6305829