NDLI: Algorithms for community subject-identification: experiments and test results

Content Provider	IEEE Xplore Digital Library
Author	Deepak Subramoniam Jyothi John
Copyright Year	2004
Description	Author affiliation: Model Eng. Coll., Kerala, India (Deepak Subramoniam; Jyothi John)
Abstract	We deal with the problem of finding the subject that a given set of pages deals with. The algorithms presented have been designed with a view to provide good results when pages that belong to community (or handle some common topic) are presented to them. When a set of pages are presented, the algorithms return a set of words ordered in the decreasing order of relevance. The words among the first few can be used to identify the topic that the set deals with. The algorithms have been tested by providing them with pages returned from a search engine for a given search query and their performance is assessed based on how high the words used in the search query are placed in the list returned by the algorithm.
Sponsorship	IEEE Task Committee of e-Commerce Fu-Jen Univ. of Taiwan BIKMrdc of Fu-Jen Univ. Academia Sinica Nat. Sci. Council of Taiwan Ministry of Educ. of Taiwan Information Syst. Frontiers Microsoft ChungHwa Data Mining Soc
Starting Page	195
Ending Page	201
File Size	221128
Page Count	7
File Format	PDF
ISBN	0769520731
DOI	10.1109/EEE.2004.1287309
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-03-28
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Web services Web pages Search engines Educational institutions Bipartite graph Testing
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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