Design and implementation of web product search engine (Part 1)

• Main Author: Lim, Geok Mui.
• Other Authors: Hoi Chu Hong
• Format: Final Year Project
• Language: English
• Published: 2011
• Subjects: DRNTU::Engineering::Computer science and engineering::Information systems
• Online Access: http://hdl.handle.net/10356/43899
• Institution: Nanyang Technological University

The purpose of the study is to develop a robust and well-designed Web Product Search Engine –Visual Image Search Engine (VISE), providing both text and image search functions. VISE is developed by a team of five students. In this project, the author shows that the VISE is able to provide text search function via Apache Lucene, and image search function via Multi-Probe Locality Sensitive Hashing (MPLSH) library. Consumers are also able to refine their results through filter and sort options. The author will also illustrate the development process of VISE, from requirements to architecture design and actual implementation. Certain factors such as consistency and maintainability were taken into consideration during the design process. The product search engine aims to enhance customer’s shopping experience through greater convenience and more accurate search results. It is organized and implemented in a way that aims to minimize efforts needed for future changes or upgrading.