Product And Offer Categorization System (Pocas) For Comparison Shopping Engine Websites

• Main Author: Sharvin, Rathanasamy
• Format: Final Year Project Report
• Language: English; English
• Published: Universiti Malaysia Sarawak (UNIMAS) 2023
• Subjects: QA Mathematics; QA75 Electronic computers. Computer science
• Online Access: http://ir.unimas.my/id/eprint/44103/1/Sharvin%20Rathanasamy%20%2824pgs%29.pdf; http://ir.unimas.my/id/eprint/44103/2/Sharvin%20Rathanasamy%20%28fulltext%29.pdf; http://ir.unimas.my/id/eprint/44103/

Ecommerce plays an important role in modern-day life. During the COVID-19 pandemic, the use of e-commerce platforms increased. There are billions of products that have been sold on this platform. Comparing prices across the e-commerce platform has been a difficult task. The Comparison-Shopping Engine (CSE) websites are tools to compare pricing, shipping options, and service provided for each product or service from multiple retailers from various e�commerce platforms to identify the best offer or deal for the specific product or service. Categorization produces a well-organized product catalogue which will reduce users (customers) burden to navigate through the catalogue to find the desired product. Moreover, it also reduces the workload of the teams (organization which build and maintain the site) itself. Categorizing the product catalogue properly helps the team to monitor the traffic towards the product, generate reports, decision-making about the products, and help to understand the users need better which improve the productivity of the organization. Most importantly, categorization helps to identify and push the pages with high value in Google search result. The Product and Offer Categorization System (POCaS) is a categorization system that’s developed to categorise the products and offers of comparison-shopping engines. POCaS is a manual categorization system where the categorization is done manually by the categorization team. This system will be used by the categorization team to set rules for each category by defining the conditions for reaching each category and subcategory. Several works of literature were selected and reviewed to get a better insight into the proposed system and applied it in the development of the system. A web-based system is developed and named as POCaS. Based on the UML Diagrams and methodology, all the functionalities have been created and applied in the system. Moreover, functional and usability testing are performed to ensure the system meets the criteria and functions satisfactorily. The plan and tests are used to enhance the system further.