农产品交易撮合模型

数据集是通过聚合电商云多板块业务，已采用加密技术对个人敏感信息进行脱敏处理的的农产品交易数据集合。农产品交易撮合模型是从商品、规模、物流、价格等多个维度进行评分，Wi是一级指标（商品、规模、物流、价格）的权重，Uij为二级指标（类目、品质、产地、重量、数量、物流时长、物流成本、价格）的权重，评价向量an=(a1,a2,…,aN)是撮合过程中对指标Cij采用相应的规则匹配时，根据不同的匹配结果an会有不同的取值，an的取值决定了该指标在撮合度评价上的高低以及撮合结果。撮合度的计算见附件“农产品交易撮合模型算法截图”。This dataset is an agricultural product transaction data collection aggregated from multiple business segments of the e-commerce cloud platform, with personal sensitive information desensitized using encryption technologies. The agricultural product transaction matching model conducts scoring across multiple dimensions including product, scale, logistics and price. Here, $W_i$ represents the weight of first-level indicators (product, scale, logistics, price), while $U_{ij}$ represents the weight of second-level indicators (category, quality, origin, weight, quantity, logistics duration, logistics cost, price). The evaluation vector $oldsymbol{a}_n=(a_1, a_2, dots, a_N)$ is applied during the matching process: when rule-based matching is performed on indicator $C_{ij}$ according to corresponding rules, $oldsymbol{a}_n$ takes different values based on varying matching results. The value of $oldsymbol{a}_n$ determines the level of the indicator's matching degree evaluation and the final matching outcome. The calculation of matching degree is presented in the attachment titled "Screenshot of Agricultural Product Transaction Matching Model Algorithm".

搜集汇总

背景与挑战

背景概述

该数据集是一个2GB大小的农产品交易撮合模型数据，每日更新，用于农产品买卖的交易推荐评分系统。系统基于多维度评分算法，包括商品、规模、物流和价格等，提供定制化的交易推荐指南。数据结构详细，包含一级至三级类目、商品名称、销量、价格等多个字段。