TY - JOUR AU - Chalyi, Serhii AU - Pribylnova, Inna PY - 2019/05/31 Y2 - 2024/03/28 TI - THE METHOD OF CONSTRUCTING RECOMMENDATIONS ONLINE ON THE TEMPORAL DYNAMICS OF USER INTERESTS USING MULTILAYER GRAPH JF - EUREKA: Physics and Engineering JA - Eureka: PE VL - 0 IS - 3 SE - Computer Science DO - 10.21303/2461-4262.2019.00894 UR - https://journal.eu-jr.eu/engineering/article/view/894 SP - 13-19 AB - 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. ER -