Hypertext Retrieval System Using XLinks


The KIPS Transactions:PartD, Vol. 8, No. 5, pp. 483-494, Oct. 2001
10.3745/KIPSTD.2001.8.5.483,   PDF Download:

Abstract

Most of hypertext retrieval models consider documents as independent entities. They ignore relationships between documents or link semantics. In an information retrieval system for hypertext documents, retrieval effectiveness can be improved when ling information is used. Previous link-based hypertext retrieval models ignore link information while indexing. They utilize link information to re-rank the retrieval results. Therefore they are limited that only the documents in result-set utilize link information. This paper utilizes link information when indexing. We present how to use term weighting and inLinks weighting for ranking the relevant documents. Experimental results show that recall and precision evaluation according to the link semantics and the comparison with previously link_based hypertext retrieval model.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from September 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article
[IEEE Style]
E. J. Kim and J. M. Bae, "Hypertext Retrieval System Using XLinks," The KIPS Transactions:PartD, vol. 8, no. 5, pp. 483-494, 2001. DOI: 10.3745/KIPSTD.2001.8.5.483.

[ACM Style]
Eun Jung Kim and Jong Min Bae. 2001. Hypertext Retrieval System Using XLinks. The KIPS Transactions:PartD, 8, 5, (2001), 483-494. DOI: 10.3745/KIPSTD.2001.8.5.483.