Introduction to special issue on learning to rank for information retrieval

摘要

Learning to rank has emerged as an active and growing area of research both in information retrieval (IR) and machine learning (ML). Many IR problems are by nature ranking problems, and many IR technologies can be potentially enhanced by using learning to rank techniques. These include document retrieval, definition ranking (Xu et al. 2005), question answering (Banerjee et al. 2009; Surdeanu et al. 2008; Verberne et al. 2009), multimedia retrieval (Yang et al. 2008a; Yang et al. 2008b), text summarization (Metzler et al. 2008) and advertisement (Ciaramita et al. 2008; Mao 2009).