用户在不同时间段观看广告的分析数据

分析用户在不同时间段观看广告的数据可以有效的把我用户喜好，能更准确的为用户推送感兴趣的广告内容，本数据可以对用户在不同时间段观看广告的情况进行安全性评价，为政府监管、消费者购买提供参考和技术支撑。1.数据采集:采集不同用户在不同时间段观看的广告类型、浏览不同广告的数量、同一广告重复点击次数进行统计；2.计算重复点击率（%）=同一广告重复点击次数/浏览不同广告的数量；3.数据应用: 用户在不同时间段观看广告的情况可以作为大数据推送的依据。

Analyzing users' ad viewing data across different time periods can effectively capture their preferences, enabling more accurate delivery of targeted advertisements that align with users' interests. This dataset can also conduct safety evaluations on users' ad viewing status in various time periods, providing reference and technical support for government supervision and consumer purchasing decisions.
1. Data Collection: Collect and count the types of ads watched by different users across different time periods, the number of distinct ads browsed, and the number of repeated clicks on the same advertisement.
2. Calculation of Repeat Click-through Rate (RCTR, %): Repeat Click-through Rate (%) = (Number of repeated clicks on the same advertisement) / (Number of distinct ads browsed)
3. Data Application: Users' ad viewing conditions in different time periods can serve as a basis for big data-driven advertisement delivery.

搜集汇总

数据集介绍

特点

该数据集记录了用户在不同时间段观看广告的行为数据，包括广告点击率、点击时间段、广告类型、浏览不同广告的数量、同一广告重复点击次数和重复点击率等信息。数据规模为325条，每日更新，适用于分析用户喜好、优化广告推送策略，并为政府监管和消费者购买提供参考。