基于先验算法的购物篮分析:杂货商品推荐

Nor Aidatul Hazirah Mohd Rosli, Noor Hasimah Ibrahim Teo
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引用次数: 0

摘要

购物清单通常用于确保只购买必要的物品,而不会忘记其他物品。由于商品清单很长,他们每个月都必须买,人们经常在去超市的时候忘记他们需要买什么。即使有了一个清单,仍然有一些东西被遗漏了。因此,一个名为MyGrocery的应用程序被提出,它为用户经常一起购买的商品提供建议,并帮助用户创建购物清单。这可能会帮助他们制作个性化的购物清单,其中包括根据他们过去的购买情况推荐的商品。其目的是帮助他们记录自己买了什么,并帮助他们创建个性化的购物清单。购物篮分析用于查找MyGrocery中使用过去购买历史记录的商品之间的关联。结果显示MyGrocery的显著推荐,其中使用Apriori算法进行的Market Basket Analysis显示了计算升力值后推荐的商品。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MARKET BASKET ANALYSIS USING APRIORI ALGORITHM: GROCERY ITEMS RECOMMENDATION
A grocery list is frequently used to make sure that only essential items are bought and nothing else is forgotten. Due to the extensive list of items, they must buy each month, people frequently forget what they need to buy when they get to the supermarket. Even with a list, there are still things that get left out. Therefore, an application called MyGrocery is proposed that offers suggestions for items users frequently buy together and aids users in creating grocery lists. This might help them make a personalised grocery list with items that are suggested based on their past purchases. The aim is to help them keep track of what they have bought as well as to help them create personalised grocery lists. Market basket analysis is used to find associations between items in MyGrocery using past purchased history. The result shows the significant recommendation by MyGrocery where the Market Basket Analysis, which is carried out using the Apriori Algorithm, displayed the recommended item following the calculation of lift value.
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