The Method of Constructing Recommendations Online on the Temporal Dynamics of User Interests Using Multilayer Graph

The problem of the online construction of a rating list of objects in the recommender system is considered. A method for constructing recommendations online using the presentation of input data in the form of a multi-layer graph based on changes in user interests over time is proposed. The method is used for constructing recommendations in a situation with implicit feedback from the user. Input data are represented by a sequence of user choice records with a time stamp for each choice. The method includes the phases of pre-filtering of data and building recommendations by collaborative filtering of selected data. At pre-filtering of the input data, the subset of data is split into a sequence of fixed-length non-overlapping time intervals. Users with similar interests and records with objects of interest to these users are selected on a finite continuous subset of time intervals. In the second phase, the pre-filtered subset of data is used, which allows reducing the computational costs of generating recommendations. The method allows increasing the efficiency of building a rating list offered to the target user by taking into account changes in the interests of the user over time

Method of Forming Recommendations Using Temporal Constraints in a Situation of Cyclic Cold Start of the Recommender System

The problem of the formation of the recommended list of items in the situation of cyclic cold start of the recommendation system is considered. This problem occurs when building recommendations for occasional users. The interests of such consumers change significantly over time. These users are considered “cold” when accessing the recommendation system. A method for building recommendations in a cyclical cold start situation using temporal constraints is proposed. Temporal constraints are formed on the basis of the selection of repetitive pairs of actions for choosing the same objects at a given level of time granulation. Input data is represented by a set of user choice records. For each entry, a time stamp is indicated. The method includes the phases of the formation of temporal constraints, the addition of source data using these constraints, as well as the formation of recommendations using the collaborative filtering algorithm. The proposed method makes it possible, with the help of temporal constraints, to improve the accuracy of recommendations for “cold” users with periodic changes in their interests

Development of the Technology for Changing the Sequence of Access to Shared Resources of Business Processes for Process Management Support

The model of the event log of the information system has been improved. The model contains the sequences of events consistent with implemented sequences of management actions within both the process approach and functional management approach. A strict linear order in time was assigned for each pair of events belonging to the same process. The model is designed to describe the prototype of the as-is business process.A case-based model of a business process, describing the features of its known implementations, reflected in the event log, has been proposed. The model combines a set of implemented sequences of operations of each process and takes into consideration the time to implement these operations, as well as the resources they need. When describing the time to implement the operations of a process, delays in accessing the company\u27s shared resources are taken into consideration. The model makes it possible to predict the terms of completing the set of business processes competing for the resources when removing or adding new processes to this set.The technology for changing the sequence of access to resources for a set of business processes competing for these resources within the process management was developed. The proposed technology uses the case-based model of a business process to calculate the order of access to resources. The technology provides an opportunity to calculate the total reduction in delays over the implementation time in relation to the implementation terms when processes are competing for resources. The technology makes it possible to choose how to access resources with the least delay in relation to operations completion deadlines for the known variants of a business process implementation. This enables a DM to assess the possibility of launching new processes that use shared resources by reducing the waiting time when accessing these resource