| Learning to search web pages with query-level loss functions (2006) | |||||||||||||||||
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| With the rapid development of information retrieval and Web search, ranking has become a new branch of supervised learning. Many existing machine learning technologies such as Support Vector Machines, Boosting, and Neural Networks have been applied to this new problem and achieved some success. However, since these algorithms are not proposed initially for information retrieval, their loss functions are not quite in accordance with widely-used evaluation criteria for information retrieval. Such criteria include mean average precision (MAP), mean precision at n | |||||||||||||||||
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