Automatic Extraction of the Product "Attribute-Value" Pair from the Webpages
Qiaoming Zhu · Zhongwen xinxi xuebao · 2013
If we represent the products as attributes and attribute values,it will improve the effectiveness of many applications,such as demand forecasting,product recommendations,and product supplier selection.In this paper,we propose a novel pattern based method to extract the attribute-value pair of product from structured or semi-structured Web pages.This approach contains four key components: 1) acquire domain-specific attributes from titles of Web pages in the same domain.2) refine text nodes based on some default delimiters.3) collect seed attribute-value pairs based on the domain-specific attributes.4) construct high-quality patterns by combining page-specific layout information and character information.The experimental corpus is collected from two domains: digital camera and mobile phone.Experiments show the proposed method can schieve 94.68% in precision and 90.57% in recall.