Building search context with sliding window for information seeking

Author

Yu, Jie ; Gong, Jie ; Liu, Fangfang

Author_Institution

Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China

Volume

2

fYear

2011

fDate

11-13 March 2011

Firstpage

274

Lastpage

277

Abstract

With the rapid development of Internet, how to obtain and represent personalized information in user´s activity of information seeking is a key issue in information retrieval. This paper presents a novel method to build personalized search context which represents semantic background in user´s information seeking. Search context is composed of terms and semantic relation which is extracted based on Web-snippets returned from search engine. In addition, sliding window algorithm is applied in mining semantic relation in search context. Experimental results demonstrate the effectiveness of our method in clustering algorithm which plays an important role in information retrieval. It can be seen that this method has a brilliant perspective in the field of personalized search.

Keywords

Internet; data mining; information retrieval; search engines; Internet; Web-snippets; information retrieval; information seeking; personalized information; personalized search context; search engine; semantic background; semantic relation mining; sliding window algorithm; Clustering algorithms; Collaboration; Context; Filtering; Prediction algorithms; Search engines; Semantics; information seeking; search context; semantic relation; sliding window;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Research and Development (ICCRD), 2011 3rd International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-61284-839-6

Type

conf

DOI

10.1109/ICCRD.2011.5764131

Filename

5764131