A demand for convenient eating options has led to an increase in foods eaten away from home, and consumers are looking for healthy options when they eat out. Increasing vegetable consumption is a key public health nut...A demand for convenient eating options has led to an increase in foods eaten away from home, and consumers are looking for healthy options when they eat out. Increasing vegetable consumption is a key public health nutrition prior-ity. Although Asian menu items are considered a healthy option, there is little information about their relative health-fulness. This study aims to pilot a simple method for measuring the vegetable content of popular Asian dishes for use in nutrition education. Thirty vegetable containing take-out dishes from three Asian restaurants (Chinese, Thai and Singaporean) in Perth, Western Australia were photographed and weighted with, and without the vegetables. Standard 75 gram vegetable servings per dish and the average vegetable content between cuisines were compared. The mean vegetables servings per dish was 1.8 (0.25 to 5.5) with no statistical difference between cuisines (p > 0.05). The variety and amount of vegetables in individual dishes varied within each cuisine. Vegetarian dishes had the highest vegetable content and noodle and rice dishes the lowest (0.23 - 0.75 servings/dish). Digital imagery clearly, simply and quickly displayed the vegetable content of Asian dishes. The Asian take-out dishes were low in vegetables. Nutrition educators should encourage Asian food businesses to increase the vegetable content of their menus and advise customers to choose at least one vegetarian dish.展开更多
为了核算百度外卖客户给企业带来的价值,对百度外卖客户进行价值分析,提出一种改进的最近消费时间、消费频率、消费金额(recency frequency monetary,RFM)模型。该模型由平均订单交易时间间隔、客户一定时期内的交易次数、平均单次订单...为了核算百度外卖客户给企业带来的价值,对百度外卖客户进行价值分析,提出一种改进的最近消费时间、消费频率、消费金额(recency frequency monetary,RFM)模型。该模型由平均订单交易时间间隔、客户一定时期内的交易次数、平均单次订单交易金额、客户贡献时间4个指标构成,运用离差标准化方法对4个指标进行规范化处理,采用主成分分析法计算4个指标的权重,4个指标与指标对应权重的乘积之和为客户的价值,采用K-Means聚类算法将客户分为价值由高到低的客户群。对2017年百度外卖企业某商家为期3个月的4 815名客户的订单交易数据进行聚类,结果表明,4 815名客户可以分为重要保持型客户、忠诚型客户、发展型客户、一般客户、低价值客户5类客户群体。改进后RFM模型可用于百度外卖客户价值分析。展开更多
文摘A demand for convenient eating options has led to an increase in foods eaten away from home, and consumers are looking for healthy options when they eat out. Increasing vegetable consumption is a key public health nutrition prior-ity. Although Asian menu items are considered a healthy option, there is little information about their relative health-fulness. This study aims to pilot a simple method for measuring the vegetable content of popular Asian dishes for use in nutrition education. Thirty vegetable containing take-out dishes from three Asian restaurants (Chinese, Thai and Singaporean) in Perth, Western Australia were photographed and weighted with, and without the vegetables. Standard 75 gram vegetable servings per dish and the average vegetable content between cuisines were compared. The mean vegetables servings per dish was 1.8 (0.25 to 5.5) with no statistical difference between cuisines (p > 0.05). The variety and amount of vegetables in individual dishes varied within each cuisine. Vegetarian dishes had the highest vegetable content and noodle and rice dishes the lowest (0.23 - 0.75 servings/dish). Digital imagery clearly, simply and quickly displayed the vegetable content of Asian dishes. The Asian take-out dishes were low in vegetables. Nutrition educators should encourage Asian food businesses to increase the vegetable content of their menus and advise customers to choose at least one vegetarian dish.
文摘为了核算百度外卖客户给企业带来的价值,对百度外卖客户进行价值分析,提出一种改进的最近消费时间、消费频率、消费金额(recency frequency monetary,RFM)模型。该模型由平均订单交易时间间隔、客户一定时期内的交易次数、平均单次订单交易金额、客户贡献时间4个指标构成,运用离差标准化方法对4个指标进行规范化处理,采用主成分分析法计算4个指标的权重,4个指标与指标对应权重的乘积之和为客户的价值,采用K-Means聚类算法将客户分为价值由高到低的客户群。对2017年百度外卖企业某商家为期3个月的4 815名客户的订单交易数据进行聚类,结果表明,4 815名客户可以分为重要保持型客户、忠诚型客户、发展型客户、一般客户、低价值客户5类客户群体。改进后RFM模型可用于百度外卖客户价值分析。
