Weight-based boosting model for cross-domain relevance ranking adaptation

• Main Authors: CAI, Peng, GAO, Wei, WONG, Kam-Fai, ZHOU, Aoying
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2011
• Subjects: Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/4596; https://ink.library.smu.edu.sg/context/sis_research/article/5599/viewcontent/Weight.pdf
• Institution: Singapore Management University

Adaptation techniques based on importance weighting were shown effective for RankSVM and RankNet, viz., each training instance is assigned a target weight denoting its importance to the target domain and incorporated into loss functions. In this work, we extend RankBoost using importance weighting f...