Share Email Print
cover

Proceedings Paper

Design of personalized search engine based on user-webpage dynamic model
Author(s): Jihan Li; Shanglin Li; Yingke Zhu; Bo Xiao
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Personalized search engine focuses on establishing a user-webpage dynamic model. In this model, users' personalized factors are introduced so that the search engine is better able to provide the user with targeted feedback. This paper constructs user and webpage dynamic vector tables, introduces singular value decomposition analysis in the processes of topic categorization, and extends the traditional PageRank algorithm.

Paper Details

Date Published: 24 December 2013
PDF: 5 pages
Proc. SPIE 9067, Sixth International Conference on Machine Vision (ICMV 2013), 90672E (24 December 2013); doi: 10.1117/12.2052976
Show Author Affiliations
Jihan Li, Beijing Univ. of Posts and Telecommunications (China)
Shanglin Li, Beijing Univ. of Posts and Telecommunications (China)
Yingke Zhu, Beijing Univ. of Posts and Telecommunications (China)
Bo Xiao, Beijing Univ. of Posts and Telecommunications (China)


Published in SPIE Proceedings Vol. 9067:
Sixth International Conference on Machine Vision (ICMV 2013)
Branislav Vuksanovic; Antanas Verikas; Jianhong Zhou, Editor(s)

© SPIE. Terms of Use
Back to Top