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

Journal Title: Research Focus International Scientific Journal - Year 2022, Vol 2, Issue 9

Abstract

This article focuses on the development of innovative recommendations and personalization mechanisms to enhance the user experience in a shopping platform. The objective is to provide users with customized and relevant product recommendations, thereby improving user engagement and satisfaction. Advanced data analytics techniques and machine learning algorithms are employed to analyze user preferences, historical purchase data, and contextual information. By leveraging this information, the recommendation engine generates personalized recommendations that align with each user's interests and preferences. Additionally, the article explores the implementation of dynamic personalization mechanisms, such as adaptive user interfaces and real-time updates, to create a seamless and intuitive shopping experience. The findings highlight the potential of these innovative approaches to significantly enhance user engagement, increase conversion rates, and foster long-term customer loyalty on shopping platforms.

Authors and Affiliations

Rajabov Narzullo Agzamovich, Azamov Temur Narzullayevich

Keywords

Related Articles

ВЫБОР ОПЕРАТИВНОГО ДОСТУПА ПРИ ЭХИНОКОККОЗЕ ПЕЧЕНИ

Нами проведен анализ результатов обследования и лечения 165 больных с эхинококкозом печени, поступивших за последние 10 лет в клинику общей хирургии Самаркандского медицинского университета.  Из 165 оперированных больны...

USING VISUALS IN TEACHING ENGLISH

Visual aids serve as powerful tools in foreign language education, offering teachers an effective means to convey complex information, introduce variety in class activities, and engage students more deeply. The advantag...

ХИРУРГИЧЕСКОЕ ЛЕЧЕНИЕ ВЕНТРАЛЬНЫХ ГРЫЖ У БОЛЬНЫХ С МОРБИДНЫМ ОЖИРЕНИЕМ И АБДОМИНОПТОЗОМ

сегодня большую распространенность во всем мире получило ожире­ние. Всемирная Организация Здравоохранения (ВОЗ) признала ожирение новой неинфекционной «эпидемией XXI века». В Узбекистане не ме­нее 20% трудоспособного на...

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

This article focuses on the development of innovative recommendations and personalization mechanisms to enhance the user experience in a shopping platform. The objective is to provide users with customized and relevant p...

SPORT SOG‘LOMLASHTIRISH DASTURLARINI RIVOJLANTIRISHDA SKANDINAVIYA USULIDA YURISHNING AHAMIYATI

mazkur maqolada sog’lomlashtiruvchi skandinaviya usulida yurishning aholi salomatligini saqlash va mustaxkamlashdagi ahamiyati hamda skandinavcha yurish texnikasiga o’rgatish metodikasi  inson organizmiga ijobiy ta'siri...

Download PDF file
  • EP ID EP739634
  • DOI -
  • Views 39
  • Downloads 1

How To Cite

Rajabov Narzullo Agzamovich, Azamov Temur Narzullayevich (2022). DEVELOPING INNOVATIVE RECOMMENDATION AND PERSONALIZATION ENGINES TO IMPROVE THE USER EXPERIENCE ON THE TRADING PLATFORM. Research Focus International Scientific Journal, 2(9), -. https://europub.co.uk/articles/-A-739634