- 学术相关
- The Role of Messenger in Advertising Content: Bayesian Persuasion Perspective
- Editorial Statement—Stochastic Models and Simulation
- Sequential Search with Acquisition Uncertainty
- Modelling dataset bias in machine-learned theories of economic decision-making
- Optimal Discoverability on Platforms
- UFIN: Universal Feature Interaction Network for Multi-Domain Click-Through Rate Prediction
- 技术技巧
学术相关
The Role of Messenger in Advertising Content: Bayesian Persuasion Perspective1
Editorial Statement—Stochastic Models and Simulation2
Sequential Search with Acquisition Uncertainty3
Modelling dataset bias in machine-learned theories of economic decision-making4
Optimal Discoverability on Platforms5
UFIN: Universal Feature Interaction Network for Multi-Domain Click-Through Rate Prediction6
技术技巧
AI工具导航网站
Python丨代码保护
pyc文件
pyc是原生Python文件编译后生成的二进制文件
通常运行py脚本后，所在目录会自动编译生成.pyc文件
主动编译：
python -m py_compile [/path/to/example.py] # 需要py文件绝对路径
pyc会生成在目录下的__pycache__中，命名格式：源文件名.cpython-python版本.pyc
- 批量编译
compile_dir(dir[, maxlevels[, ddir[, force[, rx[, quiet]]]]])
python -m compileall <dir>
参数含义：
- maxlevels：递归编译的层数
- ddir：路径前缀
- force：如果True，不论是是否有pyc，都重新编译
- rx：正则
- quiet：如果为True，则编译不会在标准输出中打印信息
打包exe
- PyInstaller
- Nuitka
代码混淆
- oxyry在线工具
- pyobfuscate库
Cython
Vue3丨Input幽灵建议
通过手动设置字典，对固定命令、关键词进行建议提示
教程一如既往的全是坑，花时间做了一些修改，应该基本符合使用逻辑了
Input文字与提示文字的对齐没有仔细弄，用时再解决，问题不大
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Shin, J., & Wang, C.-Y. (2024). The Role of Messenger in Advertising Content: Bayesian Persuasion Perspective. Marketing Science. https://doi.org/10.1287/mksc.2022.0405 ↩
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Ata, B. (2024). Editorial Statement—Stochastic Models and Simulation. Management Science. https://doi.org/10.1287/mnsc.2024.smsstmt.v70.n2 ↩
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Brown, D. B., & Uru, C. (2024). Sequential Search with Acquisition Uncertainty. Management Science. https://doi.org/10.1287/mnsc.2022.00203 ↩
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Thomas, T., Straub, D., Tatai, F., Shene, M., Tosik, T., Kersting, K., & Rothkopf, C. A. (2024). Modelling dataset bias in machine-learned theories of economic decision-making. Nature Human Behaviour, 1–13. https://doi.org/10.1038/s41562-023-01784-6 ↩
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Hagiu, A., & Wright, J. (2024). Optimal Discoverability on Platforms. Management Science. https://doi.org/10.1287/mnsc.2023.02362 ↩
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Tian, Z., Zhang, C., Zhao, W. X., Zhao, X., Wen, J.-R., & Cao, Z. (2023). UFIN: Universal Feature Interaction Network for Multi-Domain Click-Through Rate Prediction (arXiv:2311.15493). arXiv. http://arxiv.org/abs/2311.15493 ↩