4th International Conference on Intelligent and Fuzzy Systems (INFUS), Bornova, Türkiye, 19 - 21 Temmuz 2022, cilt.504, ss.856-863
Greedy algorithms are a commonly used paradigm of combinatorial algorithms. Combinatorial problems cover a group of problems for which possible solutions are subsets of a finite set. In this work, the research procedure was performed on the nearest neighbor algorithm, classified as one of the greedy algorithms. The conducted research resulted in the development of a functional system for obtaining recommendations from literature, textbooks and other books on the basis of data obtained as a result of previous choices made by the system user. The program in question, using the nearest neighbor algorithm, made it possible to create a recommendation system for individual users, libraries and other institutions dealing with the distribution of books.