| M. S. N. Maria. Theme-based retrieval of web news. 3rd International Workshop on the Web and Databases, May 2000. |
.... news, dynamic information retrieval, automated classification, news filtering, news clustering, news updating behavior 1 INTRODUCTION The classification and synthesized retrieval of the large amount of news on the Web has been a task that has attracted much research effort (e.g. 1] 2] [3]) The largest drawback of these news classification and retrieval systems lies at the fact that they are all based on static corpora of published news articles. International News Connection is an attempt to build a dynamic news classification and retrieval system that allows users to access ....
Nuno Maria and Mrio J. Silva. Theme-based Retrieval of Web News. SIGIR, July 2000. Athens, Greece.
....4.4 KB article 1.0 sec article Our Classification Framework was validated with a set of articles from the publications sample representing a day of publishing activity (approximately one thousand articles) Here, we only outline the main results. A more detailed discussion is available in [5]. The classification mechanisms achieved 94,5 of accuracy with non exclusive classification. Approximately 37 of the articles were classified in more than one of the eleven defined categories. In the extremely dynamic environment of Web news we also must be aware of the degradation of the ....
Maria, N. and Silva, M. J.: Theme-based Retrieval of Web News. Proceedings of the Third International Workshop on the Web and Databases (WebDB'2000). To be published as Springer LNCS.
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M. S. N. Maria. Theme-based retrieval of web news. 3rd International Workshop on the Web and Databases, May 2000.
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