需求分类及相似性计算数据集

空调产品领域产品属性侧与用户需求侧相关数据，共2大模块： ①产品基本参数：海尔空调产品基本参数数据，包含产品系列名称、空调类型、冷暖类型、空调匹数等空调属性数据； ②产品技术参数：海尔空调产品技术参数数据，包含产品制冷剂、制冷量、制冷功率等空调属性数据； ③特色功能参数：海尔空调产品功能参数数据，包含产品清洁功能、独立除湿、低温启动等空调功能数据； ④产品附件参数：海尔空调附件内容数据，展示空调产品包装清单 ⑤产品保修参数：海尔空调保修信息内容数据，包含产品保修政策、质保时间、质保备注等数据； ⑥产品技术参数：富含用户对空调产品需求的非格式化数据；主要为电商平台评论数据 ⑦产品备注参数：海尔空调其他相关属性数据，包含产品机身颜色、室内机尺寸、室外机尺寸等数据 ⑧用户需求数据：富含用户对空调产品需求的非结构化数据，主要为用户产品评论数据 采集方案： Python Requests爬虫框架 采集地点：中关村报价网、京东 采集时间：2022年3月20日This dataset contains data associated with both product attributes and user demand sides within the air conditioner product domain, consisting of 8 modules as detailed below: 1. Product Basic Parameters: Basic parameter data of Haier air conditioners, including air conditioner attribute data such as product series name, air conditioner type, cooling/heating mode, and cooling capacity rating; 2. Product Technical Parameters: Technical parameter data of Haier air conditioners, including refrigerant type, cooling capacity, cooling power and other air conditioner attribute data; 3. Special Functional Parameters: Functional parameter data of Haier air conditioners, including product cleaning function, independent dehumidification, low-temperature start-up and other air conditioner functional data; 4. Product Accessory Parameters: Data of Haier air conditioner accessory contents, presenting the packaging list of air conditioner products; 5. Product Warranty Parameters: Haier air conditioner warranty information data, including product warranty policy, warranty period, warranty notes and other relevant data; 6. Product Technical Parameters: Non-formatted data rich in user demands for air conditioner products, mainly consisting of e-commerce platform review data; 7. Product Remarks Parameters: Other relevant attribute data of Haier air conditioners, including product body color, indoor unit size, outdoor unit size and other data; 8. User Demand Data: Unstructured data rich in user demands for air conditioner products, mainly including user product review data. Data collection method: Python Requests crawler framework Data collection sources: Zhongguancun Price Quotation Website, JD.com Data collection time: March 20, 2022

搜集汇总

背景与挑战

背景概述

该数据集聚焦于空调产品领域，整合了产品属性侧（如基本参数、技术参数、功能参数等）和用户需求侧（来自电商平台的评论数据）两大模块，旨在支持需求分类与相似性计算任务。数据通过Python爬虫框架采集于2022年3月20日，来源于中关村报价网和京东平台。