RevMan: Revenue-aware multi-task online insurance recommendation

• Main Authors: LI, Yu, ZHANG, Yi, GAN, Lu, HONG, Gengwei, ZHOU, Zimu, LI, Qiang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Insurance; machine learning; e-commerce; complexity; recommender systems; Databases and Information Systems; E-Commerce; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/6058; https://ink.library.smu.edu.sg/context/sis_research/article/7061/viewcontent/aaai21_li.pdf
• Institution: Singapore Management University

Online insurance is a new type of e-commerce with exponential growth. An effective recommendation model that maximizes the total revenue of insurance products listed in multiple customized sales scenarios is crucial for the success of online insurance business. Prior recommendation models are ineffe...