用户对电影解说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。当有新的电影解说类视频需要推广时，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，广告商可以投放与电影解说类视频相关的产品广告，如该类视频的周边产品等。由于这些用户对电影解说类视频兴趣浓厚，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电影解说类视频的点击数据。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, enabling the delivery of personalized content recommendations tailored to their interests. When promoting newly released movie explanation videos, such content can be preferentially pushed to Class A users who demonstrate a strong interest in this type of video. Additionally, leveraging users' click preference data enables precise advertisement targeting, delivering ads directly to their intended audiences and effectively boosting both the click-through rate (CTR) and conversion rate of advertisements. For example, advertisers can place product advertisements related to movie explanation videos, such as peripheral merchandise of such videos, to Class A users. Since these users have a pronounced interest in movie explanation videos, their receptivity to relevant product advertisements is typically higher. 1. Data Collection: User click data on movie explanation videos is collected via the Xiaowang Film and Television display system. 2. Data Processing: The click proportion of movie explanation videos for a given user is calculated as (the number of clicks on such videos by the user / the user's total monthly clicks) × 100%, rounded to two decimal places. The unit of click volume is [times]. The user preference level is classified using the ABC classification method: if the click proportion exceeds 40%, the user is categorized as Class A; if the click proportion is greater than 20% but no more than 40%, the user is categorized as Class B; if the click proportion is 20% or lower, the user is categorized as Class C.

搜集汇总

背景与挑战

背景概述

该数据集包含533条用户对电影解说类视频的偏好等级数据，每月更新，用于分析用户偏好并实现精准内容推荐和广告投放。用户偏好等级根据点击占比分为A、B、C三个等级。