A Learning Agent for Automatic Bookmark Classification

KIPS Transactions on Software and Data Engineering, Vol. 8, No. 5, pp. 455-462, May. 2001
10.3745/KIPSTB.2001.8.5.455, Full Text:


The World Wide Web has become one of the major services provided through Internet. When searching the vast web space, users use bookmarking facilities to record the sites of interests encountered during the course of navigation. One of the typical problems arising from bookmarking is that the list of bookmarks lose coherent organization when the list becomes too lengthy, thus ceasing to function as a practical finding aid. In order to maintain the bookmark file in an efficient, organized manner, the user has to classify all the bookmarks newly added to the file, and update the folders. This paper introduces our learning agent called BClassifier that automatically classifies bookmarks by analyzing the contents of the corresponding web documents. The chief source for the training examples are the bookmarks already classified into several bookmark folders according to their subject by the user. Additionally, the web pages found under top categories of Yahoo site are collected and included in the training examples for the purpose of diversifying the subject categories to be represented, and the training examples for these categories as well. Our agent employs naive Bayesian learning method that is a well-tested, probability-based categorizing technique. In this paper, the outcome of some experimentation is also outlined and evaluated. A comparison of naive Bayesian learning method alongside other learning methods such as k-Nearest Neighbor and TFIDF is also presented.

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Cite this article
[IEEE Style]
I. C. Kim and S. S. Cho, "A Learning Agent for Automatic Bookmark Classification," KIPS Journal B (2001 ~ 2012) , vol. 8, no. 5, pp. 455-462, 2001. DOI: 10.3745/KIPSTB.2001.8.5.455.

[ACM Style]
In Cheol Kim and Soo Sun Cho. 2001. A Learning Agent for Automatic Bookmark Classification. KIPS Journal B (2001 ~ 2012) , 8, 5, (2001), 455-462. DOI: 10.3745/KIPSTB.2001.8.5.455.