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2015

Visually Interpreting Names as Demographic Attributes by Exploiting Click-Through Data

4 years 3 months ago
Visually Interpreting Names as Demographic Attributes by Exploiting Click-Through Data
Name of an identity is strongly influenced by his/her cultural background such as gender and ethnicity, both vital attributes for user profiling, attribute-based retrieval, etc. Typically, the associations between names and attributes (e.g., people named “Amy” are mostly females) are annotated manually or provided by the census data of governments. We propose to associate a name and its likely demographic attributes by exploiting click-throughs between name queries and images with automatically detected facial attributes. This is the first work attempting to translate an abstract name to demographic attributes in visual-data-driven manner, and it is adaptive to incremental data, more countries and even unseen names (the names out of click-through data) without additional manual labels. In the experiments, the automatic name-attribute associations can help gender inference with competitive accuracy by using manual labeling. It also benefits profiling social media users and key...
Yan-Ying Chen, Yin-Hsi Kuo, Chun-Che Wu, Winston H
Added 27 Mar 2016
Updated 27 Mar 2016
Type Journal
Year 2015
Where AAAI
Authors Yan-Ying Chen, Yin-Hsi Kuo, Chun-Che Wu, Winston H. Hsu
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