Programs
- Ph. D. in Mechanical Engineering -
- B.Tech. in Artificial Intelligence (AI) and Data Science (Medical Engineering) - Undergraduate
Publication Type : Book Chapter
Publisher : SpringerNature
Source : In:Pati,B.,Panigrahi,C.R.,Mohapatra, P., Li, KC. (eds) Proceedings of the 6th International Conference on Advance Computing and IntelligentEngineering.LectureNotesinNetworksandSystems,vol428.Springer,Singapore
Url : https://link.springer.com/chapter/10.1007/978-981-19-2225-1_24
Campus : Amritapuri
School : School of Computing
Center : Computational Linguistics and Indic Studies
Year : 2023
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.
Cite this Research Publication : Baby, S.S., Siji Rani, S. (2023). A Hybrid Product Recommendation System Based onWeather Analysis. In:Pati,B.,Panigrahi,C.R.,Mohapatra, P., Li, KC. (eds) Proceedings of the 6th International Conference on Advance Computing and IntelligentEngineering.LectureNotesinNetworksandSystems,vol428.Springer,Singapore. https://doi.org/10.1007/978-981-19-2225-1_24