A Cooperative Coevolution Framework for Parallel Learning to Rank

• Main Authors: WANG, Shuaiqiang, WU, Yun, GAO, Byron J., WANG, Ke, LAUW, Hady W., MA, Jun
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: Cooperative coevolution; learning to rank; information retrieval; genetic programming; immune programming; Computer Sciences; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/2889; https://ink.library.smu.edu.sg/context/sis_research/article/3889/viewcontent/Lauw_2015_CCRank.pdf
• Institution: Singapore Management University

We propose CCRank, the first parallel framework for learning to rank based on evolutionary algorithms (EA), aiming to significantly improve learning efficiency while maintaining accuracy. CCRank is based on cooperative coevolution (CC), a divide-and-conquer framework that has demonstrated high promi...