Mikhail S. Klimonov, Roman K. Fedorov

Institute of System Dynamics and Control Theory named after V.M. Matrosov SB RAS

This article presents the design and development of a recommender system for selecting services on the geospatial portal of the Institute of system dynamics and control theory SB RAS (IDSCT SB RAS). The system aims to assist researchers in discovering suitable web services by applying advanced data analysis techniques, in particular collaborative filtering. The current challenges in the traditional systems, including the difficulty of service discovery and lack of personalized recommendations, are addressed. A method for recommending web services is proposed, based on an analysis of a user's preferences and their nearest neighbors. The results demonstrate that the proposed system offers an opportunity to find the most relevant services for researchers based on their patterns of use and preferences.

Collaborative filtering, recommender systems, data processing services, nearest neighbor method