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
Link To Document :
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