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Apr 23, 2011 - PDF | LETOR is a benchmark collection for the research on learning to rank for information retrieval, released by Microsoft Research Asia. In this | Find, read and cite all the (will be inserted by the editor). LETOR: A Benchmark Collection for Dec 20, 2015 - Introduction to Information. Retrieval. Machine learning for IR ranking? ? We've looked at methods for ranking Page edit recency? ? Page length? ? The New Learning to rank for Information Retrieval (IR) is a task to automat- ically construct a ranking model using training data, such that the model can sort new objects according to their degrees of relevance, preference, or importance. Jan 1, 2009 - (will be inserted by the editor). LETOR: A Benchmark Collection for Research on. Learning to Rank for Information Retrieval. Tao Qin · Tie-Yan Liu · Jun XuDue to the fast growth of the Web and the difficulties in finding desired information, efficient and effective information retrieval systems have become more Learning to rank for Information Retrieval (IR) is a task to automat- ically construct a ranking model using training data, such that the model can sort new objects according to their degrees of relevance, preference, or importance. Request PDF | On Jan 1, 2011, Tie-Yan Liu and others published Learning to Rank for Information Retrieval | Find, read and cite all the research you need on