Learning to rank only using training data from related domain

• المؤلفون الرئيسيون: GAO, Wei, CAI, Peng, WONG, Kam-Fai, ZHOU, Aoying
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2010
• الموضوعات: Databases and Information Systems
• الوصول للمادة أونلاين: https://ink.library.smu.edu.sg/sis_research/4597; https://ink.library.smu.edu.sg/context/sis_research/article/5600/viewcontent/p162_gao.pdf

Like traditional supervised and semi-supervised algorithms, learning to rank for information retrieval requires document annotations provided by domain experts. It is costly to annotate training data for different search domains and tasks. We propose to exploit training data annotated for a related...