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Enhancing Arabic Search Functionality for E-Commerce Websites: Challenges and Solutions

Author(s) Devender Yadav
Country United States
Abstract The expanding e-commerce sector in the Arab world offers various opportunities and challenges. Online shopping is increasingly popular; however, the complexities of the Arabic language can hinder the user experience in product searches. This study examines the linguistic challenges that impede effective Arabic search on e-commerce platforms. This study examines issues related to morphological complexity, diacritical marks, dialectal variations, and the lack of standardized transliteration. This study proposes practical and innovative solutions utilizing natural language processing, machine learning, and an enhanced understanding of user search behavior within the Arabic-speaking context. The potential of utilizing phonetic algorithms and integrating voice search to enhance the online shopping experience in Arabic is also discussed. This study seeks to offer a framework for e-commerce enterprises to improve their search functionalities, resulting in increased user satisfaction and improved business performance in the Arabic-speaking market.
Keywords Arabic language processing, e-commerce, search optimization, natural language processing (NLP), morphology, dialectal variation, user experience, Middle East and North Africa (MENA), online shopping, transliteration, voice search, stemming, diacritics
Field Engineering
Published In Volume 3, Issue 7, July 2022
Published On 2022-07-06
Cite This Enhancing Arabic Search Functionality for E-Commerce Websites: Challenges and Solutions - Devender Yadav - IJLRP Volume 3, Issue 7, July 2022. DOI 10.5281/zenodo.14838556
DOI https://doi.org/10.5281/zenodo.14838556
Short DOI https://doi.org/g84g54
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