Gcar车辆喜爱度分析数据

可根据Gcar用户在小程序内的行为和设置偏好，通过余弦相似算法得出各类影响指标，综合得出用户对某品牌某型号的车辆喜爱程度，用于车辆的精准营销。用户针对某型号车辆的车辆综合喜爱度根据余弦相似算法进行计算，车辆综合喜爱度=（意向价格*4+品牌喜好度*1.5+车型喜好度*1.5+新能源偏好*1+安全偏好*0.8+动力偏好*0.5+其他偏好*0.7）/(SQRT(意向价格^2+品牌喜好度^2+车型喜好度^2+新能源偏好^2+安全偏好^2+动力偏好^2+其他偏好^2)*SQRT(4^2+1.5^2+1.5^2+1^2+0.8^2+0.7^2+0.5^2))

This dataset can compute various impact indicators through the cosine similarity algorithm based on Gcar users' behaviors and setting preferences within the mini-program, and comprehensively derive users' preference degree for vehicles of a specific brand and model, which is applied to precise vehicle marketing. The comprehensive vehicle preference degree of a user for a certain vehicle model is calculated via the cosine similarity algorithm, and the specific formula is as follows:
Vehicle Comprehensive Preference Degree = (Intention Price × 4 + Brand Preference × 1.5 + Model Preference × 1.5 + New Energy Preference × 1 + Safety Preference × 0.8 + Power Preference × 0.5 + Other Preferences × 0.7) / (SQRT(Intention Price² + Brand Preference² + Model Preference² + New Energy Preference² + Safety Preference² + Power Preference² + Other Preferences²) × SQRT(4² + 1.5² + 1.5² + 1² + 0.8² + 0.7² + 0.5²))

搜集汇总

数据集介绍

特点

Gcar车辆喜爱度分析数据是一个包含101条记录的企业数据集，每日更新，用于通过余弦相似算法分析用户对车辆的喜爱程度，支持精准营销。