Variational learning from implicit bandit feedback

• Main Authors: TRUONG, Quoc Tuan, LAUW, Hady W.
• 格式: text
• 語言: English
• 出版: Institutional Knowledge at Singapore Management University 2021
• 主題: Variational learning; Bandit feedback; Recommender systems; Computational advertising; Databases and Information Systems; Data Science
• 在線閱讀: https://ink.library.smu.edu.sg/sis_research/6431; https://ink.library.smu.edu.sg/context/sis_research/article/7434/viewcontent/ml21.pdf
• 機構: Singapore Management University

Recommendations are prevalent in Web applications (e.g., search ranking, item recommendation, advertisement placement). Learning from bandit feedback is challenging due to the sparsity of feedback limited to system-provided actions. In this work, we focus on batch learning from logs of recommender s...