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- W2122460319 abstract "Efficient extracting merchandise information is the key technology for e-commerce searching engine. By analyzing web table characters of HTML pages of e-commerce websites, this article proposes the notion of table area locating, and decomposes the merchandise information extraction into three key processes: searching Preparative Core Areas (PCA), locating Core Area (CA) and extracting attribute values from Core-Area, and then design the algorithm of locating Core Area and the algorithm of extracting attributes names and values. We experimented with the new approach on some HTML pages from various e-commerce websites. The results indicate that this approach can locate merchandise information area and extract attributes names and values efficiently, and have better performance of precise and recall." @default.
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- W2122460319 date "2009-01-01" @default.
- W2122460319 modified "2023-09-26" @default.
- W2122460319 title "Information Extraction Based on Table Area Locating for E-Commerce Websites" @default.
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- W2122460319 doi "https://doi.org/10.1109/gcis.2009.310" @default.
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