遇见数据集

用户对短纪录片类视频喜好等级分层数据

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浙江省数据知识产权登记平台2024-09-10 更新2024-09-11 收录
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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,有部分人群对短纪录片类视频感兴趣。统计分析用户观看短纪录片类视频的数据,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:采集用户对短纪录片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: 短纪录片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 turn to short video browsing to alleviate stress during their spare time following daily work and life, a subset of the population shows interest in short documentary videos. This dataset conducts statistical analysis on user viewing data of short documentary videos, including establishing a table for historical viewers, formulating user tags, positioning users' preference levels, and providing data support for delivering personalized video recommendations via big data promotion. 1. Data Collection: Collect information such as the number of clicks users make on short documentary videos; 2. Calculation of Click Proportion: The proportion of a single user's clicks in the total clicks of all users is calculated as: (User's Click Count / Total Click Count) * 100%; 3. User Stratification: Rank the calculated click proportions from highest to lowest. Adopt the ABCDEF classification framework for stratification: users with a proportion exceeding 0.26% are categorized as "Type A Users"; those with a proportion ranging from 0.21% to 0.25% are "Type B Users"; those with a proportion between 0.16% and 0.20% are "Type C Users"; those with a proportion between 0.11% and 0.15% are "Type D Users"; those with a proportion between 0.06% and 0.10% are "Type E Users"; and users with a proportion below 0.05% are "Type F Users"; 4. Data Application: The click count results of short documentary videos can serve as the basis for evaluating users' preference levels, providing technical support for regulatory authorities to carry out their supervision work.

创建时间:
2024-07-31
搜集汇总
数据集介绍
用户对短纪录片类视频喜好等级分层数据 数据集图片
特点
该数据集包含690条用户对短纪录片类视频的点击行为数据,通过ABCDEF分类法对用户喜好进行等级分层,旨在为个性化视频推荐提供数据支持。数据每年更新一次,适用于文化、体育和娱乐行业的应用场景。
以上内容由遇见数据集搜集并总结生成
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