Adaptive semantic measurement for information filtering

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Adaptive semantic measurement for information filtering

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ACM International Conference Proceeding Series; Vol. 304 archive
Proceedings of the 2nd international conference on Scalable information systems table of contents

Suzhou, China

SESSION: WIP 1 -- work-in-progress I table of contents

Article No. 29

Year of Publication: 2007

ISBN:978-1-59593-757-5

Authors

Glenn Boardman	La Trobe University, Bundoora, Melbourne, Australia
Hongen Lu	La Trobe University, Bundoora, Melbourne, Australia

Sponsors

SIGARCH: ACM Special Interest Group on Computer Architecture
SIGIR: ACM Special Interest Group on Information Retrieval
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia

Publisher

ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering) ICST, Brussels, Belgium, Belgium

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ABSTRACT

With the volume of information on the Internet growing at an exponential rate, the needs of users to have their search results effectively filtered is increasingly important. This paper examines how a tree threshold function can be used in an information filtering agent (IFA) to extend the original keyword search to cover other related words within the domain, creating a keyword weighted semantic tree. The examination in this paper also considers how the metrics of the tree structure (shape, size, weights) influence the choice of related words for use in the extended search and what advantage this has over traditional methods. Further, that using a reduced word tree, which has been pruned using the tree pruning algorithm produces a significant increase in the number of profitable results for the user. Using these factors the analysis demonstrates equal accuracy to the benchmark comparison IFA but with increased efficiency.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

G. A. Miller, Beckwith R., C. Fellbaum, D. Gross, and K. J. Miller. Introduction to wordnet: An on-line lexical database. Journal of Lexicography, 3(4):234--244, 1990.

INDEX TERMS

Primary Classification:
H. Information Systems
H.3 INFORMATION STORAGE AND RETRIEVAL
H.3.3 Information Search and Retrieval