Development and Modification of the Service: Transition to a New Architecture, Resource Optimization and Implementation of ML Algorithms to Improve the Search Scenario

This paper examines the process of developing and modifying the service of one thematic block in order to increase its effectiveness and improve the user experience. The focus is on three key aspects: the transition to a new architecture, resource optimization, and the introduction of machine learning algorithms to improve the search scenario. The transition to a new architecture involves analyzing the existing service structure, identifying its vulnerabilities, shortcomings, and developing a more efficient and scalable architecture. This will improve the performance, reliability and flexibility of the service, as well as simplify its further modification and expansion of functionality. Resource optimization is aimed at increasing the efficiency of using computing power, data storage and network resources. The use of load balancing, data compression and other techniques will reduce infrastructure costs and ensure fast and stable operation of the service with an increasing number of requests and data. The introduction of machine learning algorithms into the search scenario is aimed at improving the relevance and personalization of the search results of the thematic unit of the value converter. Using methods of analyzing user behavior and learning based on feedback (random fees), ML models will be able to better understand user requests, take into account their preferences and context, and provide more accurate and useful results. The paper provides a detailed description of each stage of the development and modification of the service, analyzes possible problems and suggests ways to solve them. The results of the study show that the proposed changes can significantly improve the quality and efficiency of the service, improve the user experience and expand opportunities for further development and implementation of new functions in the thematic block of the value converter.