MARKET BASKET ANALYSIS USING APRIORI ALGORITHM: GROCERY ITEMS RECOMMENDATION

Abstract

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.