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
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Date
2016
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Massey University
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Abstract
With 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.