Personalized Literature Selection System Based on the Nearest Neighbor Algorithm

Zarzycki H., Skubisz O.

4th International Conference on Intelligent and Fuzzy Systems (INFUS), Bornova, Türkiye, 19 - 21 Temmuz 2022, cilt.504, ss.856-863 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 504
  • Doi Numarası: 10.1007/978-3-031-09173-5_98
  • Basıldığı Şehir: Bornova
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.856-863
  • Anahtar Kelimeler: Nearest neighbour algorithm, Greedt algorithm, Swarm inteligence, Combinatorial problems
  • Yıldız Teknik Üniversitesi Adresli: Hayır

Özet

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.