用户对图文视频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，有部分人群对图文视频类视频感兴趣。统计分析用户观看图文视频类视频的数据，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:采集用户对图文视频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: 图文视频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 of increasing demand for stress relief in daily life and work, an increasing number of people turn to watching videos for relaxation, with a subset of audiences showing particular interest in graphic-text video content. This dataset conducts statistical analysis on user viewing data of such video content: by creating tables for historical viewing users, developing user tags, and positioning users' preference levels, it provides data support for big data-driven video recommendation that matches users' preferences. 1. Data Collection: Collect metrics including the number of clicks on graphic-text video content made by users; 2. Proportion Calculation: Compute the proportion of a single user's clicks relative to the total clicks across all users, calculated as (User's click count / Total click count) × 100%; 3. Stratification via ABCDEF Classification: First rank the calculated proportions in descending order. Then apply the ABCDEF stratification framework: users with a proportion exceeding 0.26% are categorized as "Category A Users"; those with a proportion ranging from 0.21% to 0.25% are "Category B Users"; 0.16%–0.20% for "Category C Users"; 0.11%–0.15% for "Category D Users"; 0.06%–0.10% for "Category E Users"; and users with a proportion below 0.05% are classified as "Category F Users". 4. Data Application: The click count data of graphic-text video content serves as a basis for evaluating users' preference levels, providing technical support for regulatory authorities to carry out targeted supervision.