A new family of online algorithms for category ranking
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
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This paper presents an automatic feature extraction method for category ranking. It has been evaluated using Reuters and OHSUMED data sets, outperforming some of the best known and most widely used approaches.