Avazu Click-Through Rate Prediction Dataset

In online advertising, click-through rate (CTR) is a very important metric for evaluating ad performance. As a result, click prediction systems are essential and widely used for sponsored search and real-time bidding.
</br>For this competition, we have provided 11 days worth of Avazu data to build and test prediction models. Can you find a strategy that beats standard classification algorithms? The winning models from this competition will be released under an open-source license.

在在线广告业务中，点击率（click-through rate, CTR）是衡量广告投放效果的核心指标。正因如此，点击预测系统成为不可或缺的关键组件，被广泛应用于赞助式搜索与实时竞价两大场景。
本次竞赛中，我们提供了为期11天的Avazu数据集，用于构建与测试预测模型。参赛者需设计策略以超越标准分类算法的性能表现，本次竞赛的获奖模型将以开源许可协议发布。

搜集汇总

背景与挑战

背景概述

Avazu Click-Through Rate Prediction Dataset是一个用于在线广告点击率预测的数据集，包含11天的数据，分为训练集和测试集。数据集包含广告标识符、点击标识、时间戳以及多个匿名分类变量等字段，适用于构建和测试点击预测模型。