Web mining Based on VIPS in Intention-Based Information Retrieval

摘要：

This paper introduces a VIPS (Vision-based Page Segmentation) based web mining method which aims to user intents based retrieval. It firstly grasps information from web by making use of large search engines such as Baidu and so on, and then clusters the web pages basing on the intention-related features of web text. The main algorithm is described in detail and experiments are designed to grasp the query in Chinese from Baidu and Ask search engines. The results prove that the VIPS based method can achieve significant improvement comparing with some previous work.

关键词： VIPS web mining HTML structure information retrieval

作者: Qiang Zhang Xiaoxiao Jiang Jiashen Sun

作者单位: Beijing University of Posts and Telecommunications. Beijing,China

会议类型: 国际会议

会议名称: International Conference on Natural Language Processing and Knowledge Engineering(IEEE自然语言处理与知识工程国际会议 IEEE NLP-KE 2009)

会议地点: 大连

会议语种:英文

页码: 1-5

在线出版日期: 2009-09-24（万方平台首次上网日期，不代表论文的发表时间）