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Improving the design of a recommendation system using evaluation criteria and metrics as a guide

机译：以评估标准和指标为指导，改进推荐系统的设计

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Purpose - The roles recommendation systems play in health care have become crucial in achieving effective care and in meeting the needs of modern care giving. As a result, efforts have been geared toward using recommendation systems in the management of chronic diseases. Effectiveness of these systems is determined by evaluation following implementation and before deployment, using certain metrics and criteria. The purpose of this study is to ascertain whether consideration of criteria during the design of a recommendation system can increase acceptance and usefulness of the recommendation system. Design/methodology/approach - Using survey-style requirements gathering method, the specific health and technology needs of people living with chronic diseases were gathered. The result was analyzed using quantitative method. Sets of harmonized criteria and metrics were used along with requirements gathered from stakeholders to establish relationship among the criteria and the requirements. A matching matrix was used to isolate requirements for prioritization. These requirements were used in the design of a mobile app. Findings - Matching criteria against requirements highlights three possible matches, namely, exact, inferential and zero matches. In any of these matches, no requirement was discarded. This allows priority features of the system to be isolated and accorded high priority during the design. This study highlights the possibility of increasing the acceptance rate and usefulness of a recommendation system by using metrics and criteria as a guide during the design process of recommendation systems in health care. This approach was applied in the design of a mobile app called Recommendations Sharing Community for Aged and Chronically Ill People. The result has shown that with this method, it is possible to increase acceptance rate, robustness and usefulness of the product. Research limitations/implications - Inability to know the evaluation criteria beforehand, inability to do functional analysis of requirements, lack of well-defined requirements and often poor cooperation from people living with chronic diseases during requirements gathering for fear of stigmatization, confidentiality and privacy breaches are possible limitations to this study. Practical implications - The result has shown that with this method, it is possible to isolate more important features of the system and use them during the design process, thereby speeding up the design and increasing acceptance rate, robustness and usefulness of the system. It also helps to see in advance the likely features of the system that will enhance its usefulness and acceptance, thereby increasing the confidence of the developers in their ability to deliver a system that will meet users' needs. As a result, developers know beforehand where to concentrate their efforts during system development to ascertain the possibility of increasing usefulness and acceptance rate of a recommendation system. In addition, it will also save time and cost. Originality/value - This paper demonstrates originality by highlighting and testing the possibility of using evaluation criteria and metrics during the design of a recommender system with a view to increasing acceptance and enhancing usefulness. It also shows the possibility of using the metrics and criteria in system's development process for an exercise other than evaluation.
机译：目的-推荐系统在医疗保健中的作用对于实现有效的医疗保健和满足现代医疗保健的需求已变得至关重要。结果，已经努力将推荐系统用于慢性疾病的管理。这些系统的有效性是通过在实施之后和部署之前使用某些指标和标准进行评估来确定的。这项研究的目的是确定在建议系统设计过程中考虑标准是否可以提高建议系统的接受度和实用性。设计/方法/方法-使用调查式需求收集方法，收集慢性病患者的特定健康和技术需求。使用定量方法分析结果。使用了一套协调的标准和度量标准以及从利益相关者那里收集的要求，以建立标准和要求之间的关系。匹配矩阵用于隔离优先级需求。这些要求已用于移动应用程序的设计中。结果-符合要求的匹配标准突出了三种可能的匹配，即精确匹配，推论匹配和零匹配。在这些比赛中，没有任何要求被放弃。这样可以隔离系统的优先级功能，并在设计过程中赋予其较高的优先级。这项研究突出了通过在医疗保健推荐系统的设计过程中使用指标和标准作为指导来提高推荐系统的接受率和实用性的可能性。该方法已应用于名为“老年人和慢性病患者的推荐共享社区”的移动应用程序的设计中。结果表明，用这种方法可以提高产品的合格率，坚固性和实用性。研究局限/含义-无法事先了解评估标准，无法进行需求的功能分析，缺乏明确的需求以及在需求收集期间由于担心受到污名化，机密性和隐私权侵犯而与慢性病患者经常缺乏良好的合作这项研究可能的局限性。实际意义-结果表明，使用这种方法可以隔离系统的更重要特征，并在设计过程中使用它们，从而加快了设计速度，并提高了系统的接受率，健壮性和实用性。它还有助于提前了解系统的可能功能，这些功能将增强其实用性和接受性，从而增强开发人员对提供满足用户需求的系统的能力的信心。结果，开发人员事先知道了在系统开发期间将精力集中在哪里，以确定增加推荐系统的有用性和接受率的可能性。另外，它还将节省时间和成本。原创性/价值-本文通过突出和测试在推荐系统设计过程中使用评估标准和指标的可能性来证明原创性，以期提高接受度并增强实用性。它还显示了在系统开发过程中使用指标和标准进行评估以外的练习的可能性。

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