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- W4296965063 abstract "Product recommendation becomes to be one most revenue-generating technologies that every e-commerce website is using. For enhancing the purchase rate and user engagement, various product recommendations are available in the e-commerce website. Most of the external contexts are also taken into consideration for the product recommendation. This type of external context analysis sometimes will provide better recommendations when compared to the user-generated data. This paper proposes an idea of product recommendation using the weather. Here we predict the weather for the coming days using logistic regression and analyze the weather using big data analytics. Based on the analysis, we will sort the products and recommend a product in the same weather." @default.
- W4296965063 created "2022-09-25" @default.
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- W4296965063 date "2022-09-22" @default.
- W4296965063 modified "2023-10-18" @default.
- W4296965063 title "A Hybrid Product Recommendation System Based on Weather Analysis" @default.
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- W4296965063 doi "https://doi.org/10.1007/978-981-19-2225-1_24" @default.
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