Automating price matching on e-commerce websites using natural language processing : a postgraduate project dissertation presented in partial fulfilment of the requirements for the degree of Masters in Information Technology at Massey University, Auckland, New Zealand

Xie, Jiansheng2021-10-192021-10-192016http://hdl.handle.net/10179/16686With the development of internet, shopping online has become an important part in our daily life. Global B2C e-commerce turnover grew by 24.0% to reach 1,943 billion dollars in 2014. Not only customers need to face a great amount of information while shopping online, the companies also need to catch the information from their competitors. There is a case which a company wanted to realize was a simple way for them to monitor the prices of equivalent products on competitor’s website. Base on the development of the E-commerce platform, after analyzing the requirement of companies and customer, we propose a frame of E-commerce website data extraction, data storage and production matching. We build up a customized web crawler to crawl the production on E-commerce website and extract the production detail for matching. Finally we got average 87.18% matching rate after applying enhance TF/IDF algorithm with weight adjustment.enThe AuthorAutomating price matching on e-commerce websites using natural language processing : a postgraduate project dissertation presented in partial fulfilment of the requirements for the degree of Masters in Information Technology at Massey University, Auckland, New ZealandThesis460208 Natural language processingQ112926922https://www.wikidata.org/wiki/Q112926922