@inproceedings{c7d44817354f4d3ba27271a22f72e4c1,
title = "A worldwide tourism recommendation system based on geotagged web photos",
abstract = "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{"}.",
keywords = "Geotagged web image retrieval, Tourism recommendation",
author = "Liangliang Cao and Jiebo Luo and Andrew Gallagher and Xin Jin and Jiawei Han and Huang, {Thomas S.}",
year = "2010",
doi = "10.1109/ICASSP.2010.5495905",
language = "English (US)",
isbn = "9781424442966",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2274--2277",
booktitle = "2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings",
address = "United States",
note = "2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 ; Conference date: 14-03-2010 Through 19-03-2010",
}