Brief description

In the paper, an algorithmic model of a personalized corporate notification service is discussed. It is implemented based on the Corporate Information Providing System of a scientific organization. At a high level, the corporate notification service personalization is achieved through the cyclical implementation of the service delivery processes, followed by the process of collecting data on the user’s interaction with the service, and the process of updating user preferences based on the analysis of this data. The model includes two algorithms of user personalized informing: The algorithm of the group users informing used to provide the service through stationary screens or mobile robotic platforms, and an algorithm of individual personalized informing of users, used when providing a service through a corporate application on a user’s personal mobile device. To estimate the impact of the proposed model, a questionnaire survey of users’ satisfaction level was carried out. According to it, the implementation of adaptive management of personalized service provision has a positive effect: The average increase of assessments for all respondents’ categories is 24%. The smallest growth is noticed among employees of third-party organizations-12%, and the largest one- A mong students-32%.