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An Analytical Study of Influencing Factors on Consumers’ Behaviors in Facebook Using ANN and RF

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Intelligent Computing and Optimization (ICO 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1324))

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Abstract

This study looks at factors that effect on consumers’ intentions to buy online, especially from Facebook. We enlighten the impact and analyze how factors influence consumers to purchase products from Facebook. Specifically, we observe consumer behaviors using different viewpoints. Some viewpoints are related to psychology, and some are relevant to the experiences of consumers. We emphasize the analysis of those intentions that work behind the consumption of any product from a Facebook page or group. An analytical study in which the contributions of all assumptions are investigated and reported. We gather the perceptions of 505 people regarding buying products from Facebook pages or groups. In terms of relative contributions, we find two models and evaluation matrices that indicate the accuracy of those models to predict the consumers’ purchases from Facebook pages or groups.

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Notes

  1. 1.

    LSTM: Long Short-Term Memory.

  2. 2.

    RNN: Recurrent Neural Network.

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Correspondence to Shahadat Hossain .

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Hossain, S., Hasan, M.M., Hossain, T. (2021). An Analytical Study of Influencing Factors on Consumers’ Behaviors in Facebook Using ANN and RF. In: Vasant, P., Zelinka, I., Weber, GW. (eds) Intelligent Computing and Optimization. ICO 2020. Advances in Intelligent Systems and Computing, vol 1324. Springer, Cham. https://doi.org/10.1007/978-3-030-68154-8_64

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