A Customized Comparison-Shopping Agent
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概要
- 論文の詳細を見る
This paper proposes a framework for building a customized comparison-shopping system in which the users are allowed to add their own shopping stores dynamically. In this framework, a shopping agent is implemented with a robust inductive learning method that automatically constructs wrappers for semi-structured online stores. During learning, strong biases assumed in many existing systems are weakened so that the real stores with reasonably complex document structures can be handled.
- 一般社団法人電子情報通信学会の論文
- 2001-06-01