A statistical learning learning model of text classification for support vector machines
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Discretization based learning approach to information retrieval
Proceedings of the 14th ACM international conference on Information and knowledge management
Discretization based learning approach to information retrieval
Proceedings of the 14th ACM international conference on Information and knowledge management
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We have designed a representation scheme, which is based on the discrete representation of a document ranking function, which is capable of reproducing and enhancing the properties of such popular ranking functions as tf.idf, BM25 or those based on language models. Our tests have demonstrated the capability of our approach to achieve the performance of the best known scoring functions solely through training, without using any known heuristic or analytic formulas.