音乐类型偏好识别分析能力

从中国移动用户的上网日志中，根据用户的观看行为、搜索行为、浏览行为，结合咪咕业务分析，通过评分模型分析用户对不同音乐类型的偏好。其中主要包含用户号码、偏好音乐类型等字段。主要用于展示用户对不同音乐类型的偏好信息。可用于精准营销、内容推荐、用户内容分析等场景。

This dataset is derived from the internet access logs of China Mobile users. By analyzing users' viewing, search and browsing behaviors in combination with Migu services, and leveraging a scoring model, it analyzes users' preferences for different music genres. It mainly includes fields such as user phone numbers and preferred music genres. It is primarily used to display information about users' preferences for different music genres, and can be applied in scenarios such as precision marketing, content recommendation and user content analysis.

搜集汇总

背景与挑战

背景概述

该数据集基于用户观看、搜索和浏览行为，通过评分模型分析音乐类型偏好，包含用户号码和偏好类型等字段，适用于精准营销和内容推荐等场景。