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Recommendations of closed consensus temporal patterns by group decision making

机译：小组决策对封闭共识时间模式的建议

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The aggregation of individuals' preferences into a consensus ranking is a decision support problem which has been widely used in various applications, such as decision support systems, voting systems, and recommendation systems. Especially when applying recommendation systems in business, customers ask for more suggestions about purchasing products or services because the tremendous amount of information available can be overwhelming. Therefore, we have to gather more preferences from recommend-ers and aggregate them to gain consensuses. For an example of preference ranking, C＞A≥D≥B indicates C is favorable to A, A is somewhat favorable but not fully favorable to D, and ultimately D is somewhat favorable but not fully favorable to B, where ＞ and≥ are comparators, and A, B, C, and D are items. This shows the ranking relationship between items. However, no studies, to the best of our knowledge, have ever developed a recommendation system to suggest a temporal relationship between items. That is, "item A could occur during the duration of item B" or "item C could occur before item D". This type of recommendation can be applied to the reading order of books, course plans in colleges, or the order of taking medicine for patients. This study proposes a novel recommendation model to discover closed consensus temporal patterns, where closed means the patterns are only the maximum consensus sequences. Experiments using synthetic and real datasets showed the model's computational efficiency, scalability, and effectiveness.
机译：将个人偏好汇总到共识等级中是一个决策支持问题，已广泛用于各种应用程序中，例如决策支持系统，投票系统和推荐系统。尤其是在业务中应用推荐系统时，客户会要求有关购买产品或服务的更多建议，因为可用的大量信息可能会令人不知所措。因此，我们必须从推荐者那里收集更多偏好，并汇总它们以获得共识。例如，C＞A≥D≥B表示C对A有利，A对D有利，但不完全对D有利，最终D对B有利，但对B不完全，其中＞和≥是比较器A和B，C和D是项。这显示了项目之间的排名关系。但是，就我们所知，还没有研究开发出建议系统来建议项目之间的时间关系。也就是说，“项目A可能在项目B的持续时间内发生”或“项目C可能在项目D之前发生”。这种建议可以应用于书籍的阅读顺序，大学的课程计划或为患者服药的顺序。这项研究提出了一种新颖的推荐模型，以发现封闭的共识时间模式，其中封闭意味着模式只是最大的共识序列。使用合成数据集和真实数据集进行的实验表明了该模型的计算效率，可伸缩性和有效性。

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