Abstract—

A model and method for generating context-driven recommendations for recommendation systems with multi-criteria ratings are proposed, which are applicable when the user’s attitude to the object is fixed not by using one integral criterion (assessment, overall rating), but by using a set of individual criteria that evaluate different aspects of the object. The proposed model and method allow one to solve two main problems of using recommender systems: to rank objects according to the predicted subjective integral utility with given weights of partial criteria and to rank objects according to the predicted subjective integral utility in a given context.

中文翻译：

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多准则上下文驱动的推荐器系统：模型和方法

摘要-

提出了一种用于为具有多标准评级的推荐系统生成上下文驱动的推荐的模型和方法，该模型和方法适用于以下情况：当用户对对象的态度不是通过使用一个完整的标准（评估，总体评级）来确定时，而是通过使用一组评估对象不同方面的标准。所提出的模型和方法允许解决使用推荐器系统的两个主要问题：在给定的上下文中根据给定的部分标准权重根据预测的主观积分效用对对象进行排名，以及根据给定的上下文根据预测的主观积分效用对对象进行排名。