E-Commerce Platform with Recommender System and Android Mobile Application
Irish C. Juanatas
a
,
Roben A. Juanatas
b
,
Jan Ceddrick L. Agbuya
a
,
Brigida Grace N. Bonan
a
,
Jon Bhonz M. Bonrostro
a
,
Stephen Ryan S. Gabutan
a
a FEU Diliman, 1101, Quezon City, Philippines
b National University, 1008, Manila, Philippines
Abstract: E-commerce shows steady growth in the marketplace since it makes the lives of people easier. Today’s generation is more inclined toward convenience in purchasing goods. The COVID-19 shut down many food establishments across the Philippines, resulting in an online bakeries boom. Pastries are one of the most sought goods online, especially with the pandemic surge where physical stores are seldomly open. E-commerce with a recommender system is the trend that helps customers choose products, which helps in decision-making on what to purchase. On the other hand, a mobile application counterpart could increase brand recognition and customer engagement as it is now the most effective, direct, and personalized way to deliver product information. In this study, the descriptive research method was used, with a questionnaire using the functionality, usability, reliability, performance and supportability (FURPS) serving as the instrument for testing the acceptability. The overall quality of the system was given an acceptable rating with a weighted mean of 4.07, indicating that the system’s functions were well integrated, that navigation was simple, performed consistently, and that the system was accessible regardless of device.