DocumentCode
2827774
Title
Algorithms for community subject-identification: experiments and test results
Author
Subramoniam, Deepak ; John, Jyothi
Author_Institution
Model Eng. Coll., Kerala, India
fYear
2004
fDate
28-31 March 2004
Firstpage
195
Lastpage
201
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.
Keywords
Internet; Web sites; hypermedia markup languages; query formulation; search engines; Web pages; community subject-identification algorithms; search engine; search query; Algorithm design and analysis; Bipartite graph; Educational institutions; Search engines; Testing; Web pages; Web services;
fLanguage
English
Publisher
ieee
Conference_Titel
e-Technology, e-Commerce and e-Service, 2004. EEE '04. 2004 IEEE International Conference on
Print_ISBN
0-7695-2073-1
Type
conf
DOI
10.1109/EEE.2004.1287309
Filename
1287309
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