智能家居偏好识别分析能力

从行业模型APP日清单数据表中根据用户访问的APP类别筛选出具有智慧家具偏好的上网用户，并统计当日用户对智慧家居类APP的访问次数、时长和流量等信息。主要包括用户服务号、APP编码、APP名称、访问次数、访问时长、访问流量、归属省、日、漫游省等字段。主要用于锁定智能家居偏好人群，为其进行智能家居推荐，挖掘智能家居偏好者其他潜在需求，为其提供全方位智能生活体验。

Filter out internet users with smart home preferences based on the APP categories they accessed from the daily APP inventory data table for industry models, and count metrics including the number of visits, visit duration, and access traffic of users to smart home APPs on the current day. This dataset primarily includes fields such as user service number, APP code, APP name, number of visits, visit duration, access traffic, home province, date, and roaming province. Its main applications are to identify users with smart home preferences, provide targeted smart home recommendations for them, explore other potential demands of such users, and deliver comprehensive smart living experiences to them.

搜集汇总

背景与挑战

背景概述

该数据集旨在识别和分析具有智能家居偏好的上网用户，通过筛选APP日清单数据，统计用户对智能家居类APP的访问次数、时长和流量等关键指标。它包含用户服务号、APP编码、访问时长等多个字段，主要用于锁定目标人群，为智能家居推荐和挖掘潜在需求提供支持，以提升智能生活体验。