用户对才艺展示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，有部分人群对才艺展示类视频感兴趣。统计分析用户观看才艺展示类视频的数据，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:采集用户对才艺展示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: 才艺展示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。

Apart from daily work and life, an increasing number of people turn to watching videos to relieve stress, and a portion of this group has a particular interest in talent show videos. This dataset conducts statistical analysis on user data related to talent show video views, including establishing data tables for historical viewers, formulating user tags, and positioning user preference levels, to provide data support for big data promotion efforts that deliver tailored videos matching users' preferences.
1. Data Collection: Collect information including the number of clicks users make on talent show videos.
2. Proportion Calculation: The proportion of a user's clicks in the total clicks is calculated as (User's total clicks / Total overall clicks) × 100%.
3. Ranking and Stratification: Rank the calculated proportions in descending order, then apply the ABCDEF classification method for user stratification: users with a proportion above 0.26% are categorized as "Category A Users"; those with a proportion between 0.21% and 0.25% are "Category B Users"; those with a proportion between 0.16% and 0.20% are "Category C Users"; those with a proportion between 0.11% and 0.15% are "Category D Users"; those with a proportion between 0.06% and 0.10% are "Category E Users"; and those with a proportion below 0.05% are "Category F Users".
4. Data Application: The click count results of talent show videos can serve as the basis for evaluating user preference levels, providing technical support for regulatory authorities in their supervision work.