Journal
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
Volume E94D, Issue 10, Pages 1854-1862Publisher
IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
DOI: 10.1587/transinf.E94.D.1854
Keywords
learning to rank; information retrieval; natural language processing; SVM
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Learning to rank refers to machine learning techniques for training the model in a ranking task. Learning to rank is useful for many applications in Information Retrieval, Natural Language Processing, and Data Mining. Intensive studies have been conducted on the problem and significant progress has been made [1], [2]. This short paper gives an introduction to learning to rank, and it specifically explains the fundamental problems, existing approaches, and future work of learning to rank. Several learning to rank methods using SVM techniques are described in details.
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