Web mining based on VIPS in intention-based information retrieval

Author

Zhang, Qiang ; Jiang, Xiaoxiao ; Sun, Jiashen

Author_Institution

Beijing Univ. of Posts & Telecommun., Beijing, China

fYear

2009

fDate

24-27 Sept. 2009

Firstpage

1

Lastpage

5

Abstract

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.

Keywords

Internet; data mining; information retrieval; pattern clustering; search engines; text analysis; visual perception; Baidu-Ask search engine; Web page clustering; Web text mining; intention-based information retrieval; vision-based page segmentation; Clustering algorithms; Data mining; HTML; Information retrieval; Search engines; Sun; Tree data structures; Uniform resource locators; Web mining; Web pages; HTML structure; VIPS; information retrieval; web mining;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Language Processing and Knowledge Engineering, 2009. NLP-KE 2009. International Conference on

Conference_Location

Dalian

Print_ISBN

978-1-4244-4538-7

Electronic_ISBN

978-1-4244-4540-0

Type

conf

DOI

10.1109/NLPKE.2009.5313791

Filename

5313791