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Recommender systems in mobile apps for health a systematic review

机译：用于健康的移动应用程序中的推荐系统进行系统审查

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摘要

This paper aims to identify and analyze recommender systems developed for the health area, available in mobile applications. Therefore, literature was reviewed systematically from ACM, IEEE, Springer and Science Direct databases. 1006 studies were found, eight of which met the eligibility criteria. From the chosen studies, only one was not applied to the areas of nutrition and physical activity. The recommender techniques adopted were Collaborative Filtering and Content-based Filtering. The main mobile device identified was the Smartphone and the Operating System was Android. After analyzing the results, it was possible to realize that, although they are widely used in e-commerce, recommendation systems do not have many mobile healthcare applications, and the existing ones are recent.
机译：本文旨在识别和分析针对医疗领域开发的推荐系统，可在移动应用程序中使用。因此，文献从ACM，IEEE，Springer和Science Direct数据库进行了系统地审查。共找到1006项研究，其中八项符合资格标准。从所选的研究中，只有一项不适用于营养和身体活动领域。所采用的推荐技术是“协作筛选”和“基于内容的筛选”。确定的主要移动设备是智能手机，操作系统是Android。分析结果之后，可以意识到，尽管推荐系统已广泛用于电子商务，但推荐系统并没有很多移动医疗应用程序，而现有的应用程序是最近的。

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