Personalized Literature Selection System Based on the Nearest Neighbor Algorithm


Zarzycki H., Skubisz O.

4th International Conference on Intelligent and Fuzzy Systems (INFUS), Bornova, Turkey, 19 - 21 July 2022, vol.504, pp.856-863 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 504
  • Doi Number: 10.1007/978-3-031-09173-5_98
  • City: Bornova
  • Country: Turkey
  • Page Numbers: pp.856-863
  • Keywords: Nearest neighbour algorithm, Greedt algorithm, Swarm inteligence, Combinatorial problems
  • Istanbul Technical University Affiliated: No

Abstract

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.