社区养老个性化服务需求智能预测数据集

本数据集源于杨陵区康养产业的真实服务记录，经深度加工而成。原始记录包含服务时间、类型、人员等基础字段。通过独创性的智力加工，我们构建了一套多维度标签体系和量化评估模型，为每条记录赋予了服务风险等级、情感价值密度、资源协调复杂度、服务风险指数及个性化需求预测标签。这实现了数据从简单记录到具备分析决策价值的知识资产的转变，形成了结构标准、定义清晰、可直接用于智能分析的专题数据库。

This dataset is derived from real service records of the health and senior care industry in Yangling District, and has undergone in-depth professional processing. The original records include basic fields such as service time, service category, and service personnel. Through innovative intellectual refinement, we have established a multi-dimensional tagging system and a quantitative evaluation model, and assigned each record with tags including service risk level, emotional value density, resource coordination complexity, service risk index, and personalized demand prediction tags. This process transforms the raw data from simple records into knowledge assets with analytical and decision-making value, ultimately forming a thematic database with standardized structure, clear definitions, and direct applicability to intelligent analysis.

搜集汇总

背景与挑战

背景概述

该数据集由杨陵数据控股有限公司登记，属于企业数据，目前处于公示状态，截止日期为2026年2月16日。它旨在支持社区养老领域的个性化服务需求预测，但具体数据内容、规模和应用细节未在提供的信息中详细描述。