Intelligence Shopee Product Comparison (i-SPC) and Visualization of Product Information via Naïve Bayes Adaptation

• Published in: Journal of Advanced Research in Applied Sciences and Engineering Technology
• Main Author: Samah K.A.F.A.; Raub N.S.A.; Riza L.S.; Almarzuki H.F.; Dahalan N.M.; Fadzil A.F.A.
• Format: Article
• Language: English
• Published: Semarak Ilmu Publishing 2024
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183003699&doi=10.37934%2faraset.37.1.179190&partnerID=40&md5=ef82b819ecb34d894fed3d0e813f8a10

Electronic Commerce (E-Commerce) is a type of commerce that takes place online. The most used platform based on frequently visited in Malaysia is Shopee. According to a questionnaire survey of 102 respondents, 95.1% agreed that manually comparing Shopee product information takes time. Manual analyzing a group of similar products is notoriously complicated, and finding informative reviews for product purchases is becoming increasingly challenging. This study aims to obtain Shopee information from the real-time Shopee website. Hence, Intelligence Shopee Product Comparison (i-SPC), aims to design a web-based application system that compares Shopee product information from different shops using the Naïve Bayes algorithm. The user can copy and paste the chosen Shopee product link to a maximum of ten links for comparison. The i-SPC displays the information based on seven focused factors and categorizes whether the pasted link is “recommended” or “not recommended”. The visualization result uses a bar chart to show four types of information: shop rating, product price, followers, and chat response. Testing phases have proven that the classifier accomplished all the research’s objectives and successfully classified Shopee product information with 87.50% accuracy, which is considered “good”. All test cases for the functionality test proved that the i-SPC successfully solved the problem. Therefore, it can be concluded that i-SPC overcame the problem and improved the product comparison process. © 2024, Semarak Ilmu Publishing. All rights reserved.