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- W2058164443 abstract "This paper proposes a wrapper generation method for collecting comparative shopping information from various Internet shopping malls. The proposed method is a kind of supervised learning method to learn wrappers from sample web pages along with information locations designated by the administrators. It generates wrappers expressed in the form of generalized tags sequences and frame filling procedures for semi-structured web pages. The paper also presents how to use the learned wrappers and describes a prototype system which implemented the proposed ideas and methods." @default.
- W2058164443 created "2016-06-24" @default.
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- W2058164443 date "2003-06-01" @default.
- W2058164443 modified "2023-09-27" @default.
- W2058164443 title "Wrapper Generation for Collecting Comparative Shopping Information" @default.
- W2058164443 cites W2341078838 @default.
- W2058164443 doi "https://doi.org/10.5391/ijfis.2003.3.1.127" @default.
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