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ACTIVE LEARNING AND ADVANCED RELATIONSHIP MARKETING AND HEALTH INTERVENTIONS

机译:主动学习和高级关系营销以及健康干预

摘要

Active learning and advanced relationship determination are employed with respect to a mobile marketing system and a mobile health notification system. A relationship between an advertiser and a consumer can become smarter over time as a function of interaction as well as non-interaction. Further, affinity groups or micro segments can be identified to aid tailoring of advertisements to consumers. Consumers can additionally be engaged in a dialog to acquire additional information and/or feedback data to develop a further understanding of specific consumers. Still further yet, assistance can be provided to advertisers so that advertisements can be customized for needs of potential customers. Similar learning concepts are applied to a mobile health notification system, wherein interactive wellness recommendations, prescription management alerts, and intervention encounters are delivered to a user based on a user's health profile.
机译:针对移动营销系统和移动健康通知系统采用主动学习和高级关系确定。随着时间的流逝,广告商和消费者之间的关系会变得越来越聪明,这取决于交互以及非交互的功能。此外,可以识别亲和力组或微片段以帮助定制广告给消费者。消费者还可以参与对话以获取其他信息和/或反馈数据,以进一步了解特定的消费者。更进一步,可以向广告商提供帮助,以便可以针对潜在客户的需求定制广告。将类似的学习概念应用于移动健康通知系统,其中,基于用户的健康状况将交互式健康建议,处方管理警报和干预遇到的事件传递给用户。

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