Customer Personality Prediction using the Ensemble Technique
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| Formato: | Recurso digital |
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Zenodo
2021
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| _version_ | 1866901757146169344 |
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| author | Madarapu Soumica Chamarthi Somasekhar Varma Bobbili Siva Rama Krishna |
| author_facet | Madarapu Soumica Chamarthi Somasekhar Varma Bobbili Siva Rama Krishna |
| contents | A comprehensive investigation of a company's ideal clients is known as a customer personality analysis. It aids a company's understanding of its consumers and makes it simpler to change goods to meet the demands, habits, and concerns of various sorts of customers. Customer personality analysis enables a company to adapt its product depending on the preferences of its target customers from various customer categories. Instead of paying money to promote a new product to every client in a firm's database, for example, a company may determine which customer group is most likely to buy the product and then market it to that segment solely. Hence, the main motive for the paper is to find the accuracy of the prediction of the personality of the customer who is shopping and improve the research out there using the ensemble technique. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18494144 |
| institution | Zenodo |
| language | |
| publishDate | 2021 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Customer Personality Prediction using the Ensemble Technique Madarapu Soumica Chamarthi Somasekhar Varma Bobbili Siva Rama Krishna Comparative analysis machine learning customer personality prediction prediction t ensemble model A comprehensive investigation of a company's ideal clients is known as a customer personality analysis. It aids a company's understanding of its consumers and makes it simpler to change goods to meet the demands, habits, and concerns of various sorts of customers. Customer personality analysis enables a company to adapt its product depending on the preferences of its target customers from various customer categories. Instead of paying money to promote a new product to every client in a firm's database, for example, a company may determine which customer group is most likely to buy the product and then market it to that segment solely. Hence, the main motive for the paper is to find the accuracy of the prediction of the personality of the customer who is shopping and improve the research out there using the ensemble technique. |
| title | Customer Personality Prediction using the Ensemble Technique |
| topic | Comparative analysis machine learning customer personality prediction prediction t ensemble model |
| url | https://doi.org/10.5281/zenodo.18494144 |