Balancing consumer and business value of recommender systems: A simulation-based analysis
作者：
Highlights：
• We study the longitudinal effects of recommendations on consumers and providers.
• We model micro-level consumer behavior realistically using Agent-Based Modeling and Simulation.
• Our simulations cover consumer- and profit-oriented recommendation strategies.
• We consider the effects of provider reputation on social media on consumer behavior.
• Simulation outcomes stress the importance of consumer orientation in the long run.
摘要
•We study the longitudinal effects of recommendations on consumers and providers.•We model micro-level consumer behavior realistically using Agent-Based Modeling and Simulation.•Our simulations cover consumer- and profit-oriented recommendation strategies.•We consider the effects of provider reputation on social media on consumer behavior.•Simulation outcomes stress the importance of consumer orientation in the long run.
论文关键词：E-commerce,Simulation,Agent-based modeling,Decision support
论文评审过程：Received 16 March 2022, Revised 18 August 2022, Accepted 23 August 2022, Available online 31 August 2022, Version of Record 12 September 2022.
论文官网地址：https://doi.org/10.1016/j.elerap.2022.101195
