音乐明星偏好识别分析能力

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，建立音乐明星偏好评分模型，分析用户对音乐明星的偏好。其中主要包含字段为用户号码、偏好明星（TOP5）、偏好得分字段。主要用户展示用户偏好的音乐明星情况。可应用于精准营销、用户偏好分析、产品推荐、广告营销等场景。This dataset is constructed based on the internet access logs of China Mobile users. By utilizing users' viewing behaviors, search behaviors and browsing behaviors, combined with the analysis of Migu services, a music star preference scoring model is established to analyze users' preferences towards music stars. The main fields of this dataset include user number, preferred stars (TOP 5) and preference score field. It is primarily used to display the preferred music stars of users, and can be applied in scenarios such as precision marketing, user preference analysis, product recommendation, advertising and marketing, and other relevant scenarios.

搜集汇总

背景与挑战

背景概述

该数据集基于用户行为数据建立音乐明星偏好模型，包含用户号码、偏好明星及得分等关键字段，适用于精准营销、推荐系统等商业场景。