用户对美食探店类视频偏好等级数据

通过对用户点击美食探店数据的分析，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。当有新的美食探店类视频需要推广时，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，广告商可以投放与美食探店类视频相关的产品广告，如该类视频的周边产品等。由于这些用户对美食探店类视频兴趣浓厚，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美食探店类视频的点击数据。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 data on food exploration videos, we can accurately grasp their preferences for video themes, genres and styles, and recommend content they are interested in accordingly. When new food exploration videos need to be promoted, they can be prioritized to Class A users who have a strong interest in this type of videos. In addition, based on users' click preference data, precise advertisement delivery can be achieved, pushing ads accurately to target audiences, thereby effectively improving the click-through rate (CTR) and conversion rate of advertisements. For example, for Class A users, advertisers can launch product advertisements related to food exploration videos, such as peripheral products of this type of videos. Since these users have a strong interest in food exploration videos, their acceptance of relevant product advertisements is often higher. 1. Data Collection: Collect users' click data on food exploration videos through the Xiaowang Film and Television Display System. 2. Data Processing: Click proportion of this type of videos = (number of clicks on this type of videos by the user / total number of clicks by the user in the current month) * 100% (rounded to two decimal places). The unit of measurement for click volume is [times]. User preference level classification adopts the ABC classification method: the user preference level is Class A if the click proportion of this type of videos is greater than 40%; Class B if the click proportion is greater than 20% and less than or equal to 40%; and Class C if the click proportion is less than or equal to 20%.

搜集汇总

背景与挑战

背景概述

该数据集记录了用户对美食探店类视频的点击行为，包含539条数据，每月更新，通过ABC分类法将用户偏好分为A、B、C三个等级。它用于分析用户偏好，实现视频和广告的精准推荐，提升点击率和转化率。