Summary: | 碩士 === 國立中正大學 === 資訊工程所 === 94 === Automatic information fusion from di®erent purchasing sites is useful to customers. Most purchasing sites provide product search systems for customers to find the target products. However, customers would like to do some comparisons, such as price, speci¯cation and uses opinion comparison between similar products from different sites. It is very time consuming for us to do these comparisons. In this thesis, we present a integrated product search system WISH that aims to provide these comparison information. According to the queries typed by customers, WISH will send the queries to different product search systems, and then extract products from returned pages. Because of large amounts of heterogeneities, WISH will use XML as the description language of the search system profile. Moreover, WISH will provide advanced search with back-end database enhancement. The product reviews that is
carried out with another project of Opinion Mining is also integrated into WISH.
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