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PERSONALITY TRAIT-BASED CUSTOMER BEHAVIOR PREDICTION

机译：基于人格特质的客户行为预测

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In some examples, personality trait-based customer behavior prediction may include extracting personality features from images associated with a user. Social style features may be extracted from social data associated with the user. Consumer demographics features may be extracted from consumer demographics data associated with the user. Based on a probability analysis of the extracted features, relevant features may be selected from the images, the social data, and the consumer demographics data. Historical purchase features may be extracted from historical purchase data associated with the user. At least one machine learning model may be trained based on the extracted features, and used to generate a next best offer for the user for purchase of a product or a service. A purchase of the product or the service may be performed based on the generated offer.
机译：在一些示例中，基于个性的基于特征的客户行为预测可以包括从与用户相关联的图像中提取人格特征。 可以从与用户相关联的社交数据中提取社交风格特征。 可以从与用户相关联的消费者人口统计数据中提取消费者人口统计特征。 基于提取特征的概率分析，可以从图像，社交数据和消费者人口统计数据中选择相关特征。 可以从与用户关联的历史购买数据中提取历史购买功能。 可以基于提取的特征训练至少一台机器学习模型，并且用于为用户购买购买产品或服务的下一个最佳报价。 可以基于所生成的提议进行产品或服务的购买。

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