Methods of building recommendation systems in e-commerce

ТАТУ хабарлари · 2024-yil

Annotatsiya

The purpose of this article is to study the main approaches and algorithms for building recommendation services in online trading systems.Recommendation systems optimize the sales process by identifying interesting and relevant products or services for users and offering them personalized recommendations, and serve to increase sales in e-commerce systems.In this article, the capabilities of the main techniques of recommendation systems, such as collaborative filtering, content-based approaches and hybrid models have been analyzed.A comparative analysis of the effectiveness of these methods and algorithms is carried out, their advantages and disadvantages are identified.The paper concludes by suggesting theoretical and practical frameworks for future advancements in recommender systems.

Maqola ma’lumotlari
JurnalТАТУ хабарлари
NashriyotТошкент ахборот технологиялари университети
ISSN2010-9857, 2181-1083
Nashr sanasi2024-11-20
TilIngliz
Ilmiy sohaTexnika
DOI10.61663/243tuitmct6
Indeksga qo‘shilgan2026-09-02

DOI: 10.61663/243tuitmct6 · Maqolaning asl sahifasi

Ilmiy soha

Texnika

Iqtibos keltirish

APANoma’lum muallif (2024). METHODS OF BUILDING RECOMMENDATION SYSTEMS IN E-COMMERCE. ТАТУ хабарлари. https://doi.org/10.61663/243tuitmct6
GOST (OAK)Noma’lum muallif METHODS OF BUILDING RECOMMENDATION SYSTEMS IN E-COMMERCE // ТАТУ хабарлари. – 2024. – DOI: 10.61663/243tuitmct6.
MLANoma’lum muallif. “METHODS OF BUILDING RECOMMENDATION SYSTEMS IN E-COMMERCE.” ТАТУ хабарлари, 2024. https://doi.org/10.61663/243tuitmct6
ChicagoNoma’lum muallif. “METHODS OF BUILDING RECOMMENDATION SYSTEMS IN E-COMMERCE.” ТАТУ хабарлари (2024). https://doi.org/10.61663/243tuitmct6
HarvardNoma’lum muallif (2024) ‘METHODS OF BUILDING RECOMMENDATION SYSTEMS IN E-COMMERCE’, ТАТУ хабарлари. https://doi.org/10.61663/243tuitmct6
BibTeX
@article{article2024,
  title = {METHODS OF BUILDING RECOMMENDATION SYSTEMS IN E-COMMERCE},
  author = {Unknown},
  journal = {ТАТУ хабарлари},
  year = {2024},
  doi = {10.61663/243tuitmct6},
  url = {https://doi.org/10.61663/243tuitmct6}
}

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