阅读一级分类偏好识别分析能力

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，通过评分模型得到用户不同阅读一级分类的偏好。其中主要包含用户号码、偏好阅读一级分类类型等字段。主要用于展示用户对不同阅读一级分类类型的偏好信息。可用于精准营销、内容推荐、用户内容分析等场景。

This dataset is constructed based on the internet access logs of China Mobile users. By leveraging users' viewing behaviors, search behaviors and browsing behaviors combined with the analysis of Migu services, and through a scoring model, user preferences for different first-level reading categories are obtained. It mainly includes fields such as user phone numbers and preferred first-level reading category types. The dataset is primarily used to display users' preference information regarding different first-level reading category types, and can be applied in scenarios including 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，分析其对不同阅读分类的偏好程度，包含用户号码和偏好类型等字段，适用于精准营销、内容推荐等场景。