WebSCSA: Web search by constrained spreading activation

Author

Crestani, Fabio ; Lee, Puay Leng

Author_Institution

Dept. of Comput. Sci., Glasgow Univ., UK

fYear

1999

fDate

1999

Firstpage

163

Lastpage

170

Abstract

We present WebSCSA, an experimental Web search system based on the Constrained Spreading Activation model. WebSCSA performs an autonomous search by navigation using an algorithm based on the Constrained Spreading Activation model to find Web pages that are similar to those pointed out by the user as relevant to his information need. We also present the results of an experimental investigation into WebSCSA´s effectiveness. We tested whether WebSCSA improves retrieval of relevant information on top of Web search engine results and how well WebSCSA serves as an agent browser for the user. The results are promising, and show that there is much potential for further research on the use of this technique to search the Web

Keywords

Internet; human factors; information retrieval; search engines; Web pages; Web search engines; Web searching; WebSCSA; agent browser; autonomous search; constrained spreading activation; experimental Web search system; information need; relevant information retrieval; Information retrieval; Internet; Navigation; Neural networks; Prototypes; Search engines; Statistics; Testing; Web search; Web sites;

fLanguage

English

Publisher

ieee

Conference_Titel

Research and Technology Advances in Digital Libraries, 1999. Proceedings. IEEE Forum on

Conference_Location

Baltimore, MD

ISSN

1092-9959

Print_ISBN

0-7695-0219-9

Type

conf

DOI

10.1109/ADL.1999.777711

Filename

777711