Paper Info
Title
Mining User Home Location and Gender from Flickr Tags
Abstract
Personal photos and their associated metadata reveal different aspects of our lives and, when shared online, let others have an idea about us. Automating the extraction of personal information is an arduous task but it contributes to better understanding and serving users. Here we present methods for analyzing textual metadata associated to Flickr photos that unveil users' home location and gender. We test our techniques on a sample of 30,000 people coming from six different countries, allowing us to compare results across cultures and point out similarities and differences.
Year
Venue
Keywords
2010
ICWSM
location,classification,bag of words
Field
DocType
Citations 
Bag-of-words model,Metadata,World Wide Web,Internet privacy,Information retrieval,Computer science,Personally identifiable information
Conference
33
PageRank 
References 
Authors
1.99
5
2
Name
Order
Citations
PageRank
Adrian Popescu126320.15
Gregory Grefenstette21129147.00