用户对时尚美妆类视频喜好等级分层数据
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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，有部分人群对时尚美妆类视频感兴趣。统计分析用户观看时尚美妆类视频的数据，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:采集用户对时尚美妆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: 时尚美妆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。
As an increasing number of people resort to short-form videos for stress relief during their leisure time following daily work and routines, a subset of audiences exhibit heightened interest in fashion and beauty-related videos. This dataset conducts statistical analysis on user engagement data related to such videos, constructs tabular records for historical viewers, formulates user tags to identify their preference levels, and provides data support for targeted video recommendation through big data-driven promotion. 1. Data Collection: Collect information including the number of clicks on fashion and beauty-related videos by users; 2. Proportion Calculation Formula: The proportion of a user's clicks to the total clicks across all users is computed as (User Clicks / Total Clicks) × 100%; 3. User Stratification: Rank the computed click proportions in descending order, then apply the ABCDEF classification method to stratify users: users with a proportion above 0.26% are classified as "Type A Users"; those with a proportion between 0.21% and 0.25% fall into "Type B Users"; those with a proportion ranging from 0.16% to 0.20% are "Type C Users"; those within 0.11% to 0.15% are "Type D Users"; those from 0.06% to 0.10% are "Type E Users"; and those with a proportion below 0.05% are "Type F Users"; 4. Data Application: The click count results of fashion and beauty-related videos can serve as the basis for evaluating user preference levels, and provide technical support for regulatory authorities to carry out relevant supervision work.
