On modeling of information retrieval concepts in vector spaces
ACM Transactions on Database Systems (TODS)
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Finding related pages in the World Wide Web
WWW '99 Proceedings of the eighth international conference on World Wide Web
Accessibility of information on the Web
intelligence
An efficient algorithm to rank Web resources
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
MFCRank: a web ranking algorithm based on correlation of multiple features
CICLing'06 Proceedings of the 7th international conference on Computational Linguistics and Intelligent Text Processing
Hi-index | 0.00 |
Web hyperlink structure analysis algorithm plays a significant role in improving the precision of Web information retrieval. Current link algorithms employ iteration function to compute the Web resource weight. The major drawback of this approach is that every Web document has a fixed rank which is independent of Web queries. This paper proposes an improved algorithm that ranks the quality and the relevance of a page according to users' query dynamically. The experiments show that the current link analysis algorithm is improved.