用户对颜值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，有部分人群对颜值类视频感兴趣。统计分析用户观看颜值类视频的数据，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:采集用户对颜值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: 颜值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。

In their spare time away from daily work and life, an increasing number of people turn to watching videos to relieve stress, and a portion of these users are interested in appearance-related videos. This dataset performs statistical analysis on user viewing data for appearance-related videos, including establishing a data table of historical viewers, formulating user tags, identifying users' preference levels, and providing data support for delivering videos tailored to user preferences via big data technologies. The detailed workflow is as follows:
1. Data Collection: Collect information such as the number of clicks users make on appearance-related videos;
2. Proportion Calculation: The proportion of a user's clicks relative to total clicks = (number of user clicks / total number of clicks) × 100%;
3. User Stratification: Rank the calculated proportions of users' clicks in total clicks in descending order. Adopt the ABCDEF classification method for stratification: 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 categorized as "Category B Users"; those with a proportion between 0.16% and 0.20% are categorized as "Category C Users"; those with a proportion between 0.11% and 0.15% are categorized as "Category D Users"; those with a proportion between 0.06% and 0.10% are categorized as "Category E Users"; and those with a proportion below 0.05% are categorized as "Category F Users";
4. Data Application: The click count results of appearance-related videos can serve as a basis for evaluating users' preference levels, providing technical support for regulatory authorities to conduct supervision work.

搜集汇总

数据集介绍

特点

该数据集包含690条用户对颜值类视频的喜好数据，通过点击数量和占比等信息，采用ABCDEF分类法对用户喜好等级进行分层，用于视频推送的数据支持。