ІНФОРМАЦІЙНО-ПОШУКОВА СИСТЕМА ЕЛЕКТРОННОЇ КОМЕРЦІЇ З ОЦІНКОЮ РЕЛЕВАНТНОСТІ ПОШУКУ

Topicality. The paper examines the process of developing an information search system for modern e-commerce solutions. with an assessment of the relevance of search results. Classic search engines, based only on the coincidence of keywords, often do not take into account the context and morphology of queries, synonyms and the weight of individual words, the degree of compliance of the results found with the user's expectations. Therefore, the creation of an intelligent search engine with an assessment of the relevance of search results, which is capable of take into account the user's intentions and adapt to their individual needs. The subject of study in the article is methods of increasing the relevance of search results based on the analysis of user queries and ranking of product characteristics. The purpose of the article is increasing the efficiency of search in information search systems of electronic commerce by implementing a modified method of relevance assessment. The following results were obtained. The features of the formation of user search needs, analysis of relevance assessment models, development and testing of an electronic commerce system with relevance assessment, which showed an improvement in search efficiency indicators, was considered. Conclusion. The use of relevance assessment methods for building search systems in the field of electronic commerce is an effective direction for improving the quality of information search services. The results obtained indicate the prospects for further research in the direction of adapting information search models to the specifics of online trading, improving ranking algorithms and integrating machine learning methods for personalizing the delivery of results.