A WORLDWIDE TOURISM RECOMMENDATION SYSTEM BASED ON GEOTAGGED WEB PHOTOS

被引：70
|
作者：
Cao, Liangliang [1 ]
Luo, Jiebo [2 ]
Gallagher, Andrew [2 ]
Jin, Xin [3 ]
Han, Jiawei [3 ]
Huang, Thomas S. [1 ]
机构：
[1] UIUC, Beckman Inst, Urbana, IL 61801 USA
[2] Eastman Kodak Co, Kodak Res Labs, Singapore, Singapore
[3] Univ Illinois, Dept Comp Sci, Urbana, IL 60680 USA
来源：
2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING | 2010年
关键词：
Tourism Recommendation; Geotagged Web Image Retrieval;
D O I：
10.1109/ICASSP.2010.5495905
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
This work aims to build a system to suggest tourist destinations based on visual matching and minimal user input. A user can provide either a photo of the desired scenary or a keyword describing the place of interest, and the system will look into its database for places that share the visual characteristics. To that end, we first cluster a large-scale geotagged web photo collection into groups by location and then find the representative images for each group. Tourist destination recommendations are produced by comparing the query against the representative tags or representative images under the premise of "if you like that place, you may also like these places".
引用
收藏
页码：2274 / 2277
页数：4
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