稳健性(进化)
计算机科学
基线(sea)
火星探测计划
维纳斯
机器学习
人工智能
天文
生物化学
天体生物学
基因
海洋学
物理
地质学
化学
作者
Kyungsik Han,Sanghack Lee,Jin Yea Jang,Yong Ju Jung,Dongwon Lee
标识
DOI:10.1145/2908131.2908160
摘要
We present behavioral characteristics of teens and adults in Instagram and prediction of them from their behaviors. Based on two independently created datasets from user profiles and tags, we identify teens and adults, and carry out comparative analyses on their online behaviors. Our study reveals: (1) significant behavioral differences between two age groups; (2) the empirical evidence of classifying teens and adults with up to 82% accuracy, using traditional predictive models, while two baseline methods achieve 68% at best; and (3) the robustness of our models by achieving 76%---81% when tested against an independent dataset obtained without using user profiles or tags. Our datasets are available at: https://goo.gl/LqTYNv
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