kaggle点击率预测

点击率预测是一种用来判断广告被用户点击概率的算法。常用的点击率预测算法有FM、FFM和DeepFM等。点击率一般都小于1%。点击率预测的过程包括数据集的训练和调整超参数。通过训练模型，可以预测用户最有可能点击的广告。在点击率预测中，我们的目标是通过机器学习建模来预测广告的点击与否，通常使用Logistic回归作为最后一层的全连接层，并使用Sigmoid激活函数来得到广告被点击的概率。\[1\]\[2\]\[3\]
#### 引用[.reference_title]
- *1* [Kaggle Click-Through Rate Prediction 点击率预测/CTR预估](https://blog.csdn.net/u014128608/article/details/93393175)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^control,239^v3^insert_chatgpt"}} ] [.reference_item]
- *2* *3* [Kaggle实战：点击率预估](https://blog.csdn.net/hellozhxy/article/details/104841051)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^control,239^v3^insert_chatgpt"}} ] [.reference_item]
[ .reference_list ]