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Scholars Journal of Engineering and Technology | Volume-2 | Issue-01
Recommendation of News Groups to the Users Based on Cobweb Clustering
R. Vidya, S. Akila Devi, A. Askarunisa
Published: Jan. 30, 2014 |
186
112
DOI: 10.36347/sjet
Pages: 54-59
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Abstract
Internet provides drastic access to the news articles from different information sources around the world. The
main approach is used to find out the users preference from both news content and user information. Incremental
clustering is done on the web news document in order to group the documents for recommendation. The idea of
conceptual clustering is used. It finds the similarity between them which is called as correlation measures. Here the data
is collected from data set through various web sites of news group