汽车_APP_识别分析能力

从中国移动全量的上网日志中，将APP进行行业分类，统计用户当天在各个行业分类下APP访问的个数、次数、时长和流量等信息。其中主要包含用户号码、行业细分、app访问个数、访问次数、访问时长、使用流量等字段。主要用于展现用户每天在汽车行业的APP访问情况。

This dataset is developed from China Mobile's full-scale internet access logs, where mobile apps are categorized by industry sectors. It calculates daily metrics including the number of app accesses, access frequency, access duration and traffic volume for each user under each industry classification. The dataset primarily contains fields such as user phone number, industry segment, app access count, access frequency, access duration and data traffic usage. Its core application scenario is to present the daily app access status of users in the automotive industry.

搜集汇总

背景与挑战

背景概述

该数据集专注于汽车相关应用程序的识别与分析能力，旨在提供高质量的汽车APP数据资源，支持AI模型训练和业务智能分析。它可能涵盖多模态数据，如文本、图像或语音，并注重场景多样性和数据准确性，以提升汽车领域的算法性能和应用效果。