Using the Jaccard similarity method for recommendation system of books

Khabibulla  Madatov; Sapura  Sattarova

doi:10.47689/2181-1415-vol5-iss1-pp59-69

Khabibulla Madatov Candidate of physical and mathematical sciences, PhD, Urgench State University
Sapura Sattarova Teacher, Urgench State University

DOI

https://doi.org/10.47689/2181-1415-vol5-iss1-pp59-69

Keywords

corpus / token / similarity of texts / NLTK / Jaccard algorithm / set / intersection of sets / union of sets

Abstract

The main goal of pedagogy is to educate the young generation to become mature, knowledgeable and well-rounded individuals in all respects. In this regard, one of the main tasks of the education system is to form a culture of reading among young people, to provide them with textbooks and works of art suitable for their age and intellectual potential. But only if young readers read books suitable for their intellectual potential based on their age characteristics, their knowledge, spirituality, outlook and other positive aspects will develop. If the students do not read the works according to their potential, the reader will not be able to absorb fully the contents of the work he has read, the information in the book will "weight" him. As a result, the reader's desire to read begins to fade. Readers should not read literature that is shallow in content, incompatible with our national spirituality and values, moral standards, and may have a negative impact on the education of young people. Therefore, it is necessary to create a system of recommending works suitable for the intellectual potential of readers. This article examines the application of the Jaccard similarity method to the creation of appropriate reading lists for high school students. For this, a corpus is created on the basis of high-class literature textbooks, and this corpus is compared with literary works. Books with the highest similarity results are recommended for reading. The problem was fully solved on the basis of literature textbooks of 5th-11th grade students and works of art in the Uzbek language.

Downloads

Download data is not yet available.

References

Bag S., Kumar S. K., Tiwari M. K. An efficient recommendation generation using relevant Jaccard similarity //Information Sciences. – 2019. – Т. 483. – С. 53-64.

Ivchenko G. I., Honov S. A. On the Jaccard similarity test //Journal of Mathematical Sciences. – 1998. – Т. 88. – С. 789-794.

Niwattanakul S. et al. Using of Jaccard coefficient for keywords similarity //Proceedings of the international multiconference of engineers and computer scientists. – 2013. – Т. 1. – №. 6. – С. 380-384.

Ji J. et al. Min-max hash for Jaccard similarity //2013 IEEE 13th International Conference on Data Mining. – IEEE, 2013. – С. 301-309.

Fernando B., Herath S. Anticipating human actions by correlating past with the future with Jaccard similarity measures //Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. – 2021. – С. 13224-13233.

Zahrotun L. Comparison Jaccard similarity, cosine similarity and combined both of the data clustering with shared nearest neighbor method //Computer Engineering and Applications Journal. – 2016. – Т. 5. – №. 1. – С. 11.

Bank J., Cole B. Calculating the Jaccard similarity coefficient with map reduce for entity pairs in Wikipedia //Wikipedia Similarity Team. – 2008. – Т. 1. – С. 94.

S. M. X.Madatov, S.Matlatipov Kosinus o‘xshashlik va uning o‘zbek tili matnlariga tatbiqi haqida //O‘zMU xabarlari. – 2016. – Т. 2. – №. 1.

Madatov K., Matlatipov S., Aripov M. Uzbek text's correspondence with the educational potential of pupils: a case study of the School corpus //arXiv preprint arXiv:2303.00465. – 2023.

Akhmedovich K. M., Beknazarovna S. S. METHODS OF CHECKING THE GIVEN LITERATURE ON THE INTELLECTUAL POTENTIAL OF SCHOOLCHILDREN

S.B.Sattarova, F.X.Bekchanova, A.K.Shermetov TERMINOLOGIK LUG‘AT YARATISH TEXNOLOGIYASI VA UNING TA’LIM TIZIMIDAGI AHAMIYATI //Academic research in educational sciences. – 2023. – Т. 4. – №. 5. – С. 422-434.

Khodjinazarovna B. F., Kamaliddinovich S. A., Beknazarovna S. S. VISUALIZING THE SOLAR SYSTEM USING PYTHON AND ITS IMPORTANCE IN EDUCATION //International journal of advanced research in education, technology and management. – 2023. – Т. 2. – №. 6.

Downloads

99 35

Published

2024-01-25

How to Cite

Madatov , K. and Sattarova , S. 2024. Using the Jaccard similarity method for recommendation system of books. Society and Innovation. 5, 1 (Jan. 2024), 59–69. DOI:https://doi.org/10.47689/2181-1415-vol5-iss1-pp59-69.