用户对健身类视频偏好等级数据

通过对用户点击历史数据的分析，可以精准把握其对视频题材、类型和风格的偏好，并据此为用户推荐他们感兴趣的内容。当有新的健身类视频需要推广时，可以优先推送给对该类视频兴趣浓厚的A级用户。此外，基于用户的点击偏好数据，能够实现广告的精准投放，将广告精准地推送给目标受众，从而有效提高广告的点击率和转化率。例如，对于A级用户，广告商可以投放与健身类视频相关的产品广告，如该类视频的周边产品等。由于这些用户对健身类视频兴趣浓厚，他们对相关产品广告的接受度往往会更高。1.数据收集：通过小网影视展示系统收集用户对健身类视频的点击数据。2.数据处理：该类视频点击占比=该用户该类视频点击量/当月该用户总点击量*100%（保留小数点后两位）。点击量的计量单位为【次】。用户偏好等级分类运用ABC分类法，该类视频点击占比大于40%，用户偏好等级为A;该类视频点击占比大于20%小于等于40%，用户偏好等级为B;该类视频点击占比小于等于20%则用户偏好等级为C。

By analyzing users' click history data, their preferences for video themes, genres and styles can be accurately identified, and personalized recommendations of content matching their interests can be delivered accordingly. When new fitness-related videos require promotion, they can be prioritized for delivery to Class-A users who exhibit strong interest in such content. Furthermore, precise advertising targeting can be realized based on users' click preference data, with advertisements accurately delivered to their target audiences, effectively enhancing the advertisement click-through rate (CTR) and conversion rate. For example, advertisers can launch product advertisements related to fitness-related videos, such as peripheral merchandise of such videos. Since these users have a strong interest in fitness-related videos, their acceptance of relevant product advertisements is typically higher.
1. Data Collection: Users' click data on fitness-related videos is collected via the Xiaowang Video Display System.
2. Data Processing: The click proportion of fitness-related videos for a user is calculated as: (the number of clicks on fitness-related videos by the user / the total number of clicks by the user in the current month) × 100%, rounded to two decimal places. The unit of click count is "click". The user preference level is classified using the ABC classification method: Class A if the click proportion exceeds 40%; Class B if the click proportion is greater than 20% but no more than 40%; Class C if the click proportion is no more than 20%.