基于行为感知的用户画像技术
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尤明辉,殷亚凤,谢磊,陆桑璐
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User profiling based on activity sensing
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Ming-hui YOU,Ya-feng YIN,Lei XIE,Sang-lu LU
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| 表 1 所选择的时域特征 |
| Tab.1 Time domain features used in training |
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| 时域特征 | 计算公式 | | 均值 | $\mu =\dfrac{1}{N}{\displaystyle\sum }_{i=1}^{{N} }{C}_{i}$ | | 标准差 | $\sigma =\sqrt{\dfrac{1}{N}{\displaystyle\sum }_{i=1}^{N}{\left({C}_{i}-\mu\right)}^{2} }$ | | 最大值 | $f_{{\rm{max}}}={\rm{max} }\;\left\{ {C}_{i}|i\in \left(1, N\right)\right\}$ | | 最小值 | $f_{{\rm{min}}}={\rm{min} }\;\left\{ {C}_{i}|i\in \left(1, N\right)\right\}$ | | 过均值率 | $f_{{\rm{above}}}=\dfrac{ {\rm{num} }\;\left\{ {C}_{i}|i\in \left(1, N\right),{C}_{i} > \mu\right\}}{N}$ |
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