DEVELOPING INNOVATIVE RECOMMENDATION AND PERSONALIZATION ENGINES TO IMPROVE USER EXPERIENCE ON THE TRADING PLATFORM

Tashmukhamedova Gulchekhra Takhirovna; Saidov Arslon Davron o’g’li; Davronov Murodjon Shuxrat O‘g‘li

doi:10.66073/researchfocus.v2i9.759

ARTICLE 2022 Vol 2 · No 9 EN 14c8d7c6f047

DEVELOPING INNOVATIVE RECOMMENDATION AND PERSONALIZATION ENGINES TO IMPROVE USER EXPERIENCE ON THE TRADING PLATFORM

РАЗРАБОТКА ИННОВАЦИОННЫХ МЕХАНИЗМОВ РЕКОМЕНДАЦИЙ И ПЕРСОНАЛИЗАЦИИ ДЛЯ УЛУЧШЕНИЯ ПОЛЬЗОВАТЕЛЬСКОГО ОПЫТА НА ТОРГОВОЙ ПЛАТФОРМЕ | SAVDO PLATFORMASIDA FOYDALANUVCHI TAJRIBASINI YAXSHILASH UCHUN INNOVATSION TAVSIYA VA SHAXSIYLASHTIRISH MEXANIZMLARINI ISHLAB CHIQISH

Tashmukhamedova Gulchekhra Takhirovna Director of the company "Revolution team" LLC
Saidov Arslon Davron o’g’li Doctoral student of the Scientific Research Institute for the Development of Artificial Intelligence Technologies
Davronov Murodjon Shuxrat O‘g‘li Master's student of the Urgench branch of the Tashkent University of Information Technologies

Research Focus International Scientific Journal, 2(9), 32–39 · ISSN 2181-3833

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Annotatsiya

This article explores the development of innovative recommendation and personalization mechanisms to enhance the user experience in a shopping platform. The implementation of effective recommendation engines and personalization techniques in online shopping can significantly improve customer engagement, satisfaction, and conversion rates. The article investigates various algorithms and methods used to develop recommendation engines, including collaborative filtering, content-based filtering, and hybrid approaches. It also delves into personalization techniques such as user profiling, preference analysis, and contextual recommendations. Furthermore, the article discusses the integration of recommendation engines and personalization mechanisms into shopping platforms, considering scalability and real-time recommendations. Evaluation metrics and success indicators are proposed to measure the impact of these mechanisms on user experience and business outcomes. The article concludes by presenting case studies and practical approaches that highlight successful implementations of recommendation and personalization in shopping platforms.

Kalit so‘zlar

Recommendation engines personalization mechanisms user experience

Iqtibos keltirish

Tashmukhamedova Gulchekhra Takhirovna; Saidov Arslon Davron o’g’li; Davronov Murodjon Shuxrat O‘g‘li (2022). DEVELOPING INNOVATIVE RECOMMENDATION AND PERSONALIZATION ENGINES TO IMPROVE USER EXPERIENCE ON THE TRADING PLATFORM. Research Focus International Scientific Journal, 2(9), 32–39. https://doi.org/10.66073/researchfocus.v2i9.759

Identifikator: https://rf-library.uz/article/14c8d7c6f047/developing-innovative-recommendation-and-personalization-engines-to-improve
DOI: 10.66073/researchfocus.v2i9.759
Litsenziya: Copyright (c) 2023 Research Focus International Scientific Journal
Nashriyot: LLC Ilm-fan va innovatsiyalar akademiyasi
Repozitoriyga qo‘shildi: 2026-08-07