用户对科普类视频喜好等级分层数据

在日常生活工作之余，越来越多的人喜欢刷视频来缓解压力，有部分人群对科普类视频感兴趣。统计分析用户观看科普类视频的数据，通过对历史观看用户建立表格，对用户进行标签制定，定位用户喜好级别，通过大数据推广，为用户推送符合喜好的视频提供数据支持。1. 数据采集:采集用户对科普类视频的点击数量等信息; 2. 用户点击数量占总点击数量的比例=用户点击数量/总点击数量*100%； 3. 用户点击数量占总点击数量的比例按从大到小进行排名；分类运用ABCDEF分类法，对占比0.26%以上的，给予“A类用户”分层；占比0.21%到0.25%区间的，则给予“B类用户”分层；占比在0.16%到0.20%区间，则给予“C类用户”分层；占比在0.11%到0.15%区间，则给予“D类用户”分层；占比在0.06%到0.1%区间，则给予“E类用户”分层；占比在0.05%以下，则给予“F类用户”分层； 4. 数据应用: 科普类视频的点击次数结果可以作为用户喜好等级评价的依据，为监管部门向监管提供技术支撑。

Against the backdrop that an increasing number of people opt to watch short videos to relieve stress during their spare time of daily work and life, a portion of the population shows interest in popular science videos. This dataset conducts statistical analysis on user viewing data of popular science videos: by establishing a data table for historical viewers, developing user tags, determining user preference levels, and leveraging big data-based promotion, it provides data support for delivering videos tailored to users' preferences.
1. Data Collection: Collect information such as the number of clicks on popular science videos by users;
2. Proportion of user clicks to total clicks = (Number of user clicks / Total number of clicks) × 100%;
3. Rank the calculated proportions in descending order, and classify users using the ABCDEF classification framework: users with a proportion above 0.26% are classified as Type A users; those with a proportion in the range of 0.21% to 0.25% are classified as Type B users; those with a proportion in the range of 0.16% to 0.20% are classified as Type C users; those with a proportion in the range of 0.11% to 0.15% are classified as Type D users; those with a proportion in the range of 0.06% to 0.10% are classified as Type E users; and those with a proportion below 0.05% are classified as Type F users;
4. Data Application: The click count results of popular science videos can serve as the basis for evaluating user preference levels, providing technical support for regulatory authorities to carry out their supervision work.