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- W2898370967 abstract "As internet technology advances and its usage gets popular among people Electronic Commerce (E-Commerce) business increases at a rapid pace. But the problem lying here is that E-commerce sites provide their customers with vast information about products. As a result, these customers get confused with information overload and it becomes difficult for them to find satisfactory items. These E-commerce systems cannot offer one-to-one recommendation like a salesperson do and that’s why customers are not able to choose required products as per their requirements. Proposed work analyzes content-based recommendation for E-commerce site, where the association rule mining and Apriori algorithm are used for product prediction and recommendation. Result analysis shows better performance of the system as compared to other techniques." @default.
- W2898370967 created "2018-11-02" @default.
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- W2898370967 date "2018-10-25" @default.
- W2898370967 modified "2023-09-22" @default.
- W2898370967 title "Product Recommendation for E-Commerce Data Using Association Rule and Apriori Algorithm" @default.
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- W2898370967 doi "https://doi.org/10.1007/978-3-319-74808-5_51" @default.
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