知识付费市场的发展受益于智能推荐技术的快速发展。然而,现有支付机制尚未完全适应这一变革,因此需要建立更有效和可持续的支付模式。为此,构建了初始的两方演化博弈模型,揭示了智能推荐技术对知识产品创作成本和消费者时间成本的影响...知识付费市场的发展受益于智能推荐技术的快速发展。然而,现有支付机制尚未完全适应这一变革,因此需要建立更有效和可持续的支付模式。为此,构建了初始的两方演化博弈模型,揭示了智能推荐技术对知识产品创作成本和消费者时间成本的影响,以及对投机行为的抑制作用。考虑了智能推荐技术对平台运营和支付机制的影响,通过仿真分析,进一步验证智能推荐技术提高了知识产品创作成本,但降低了时间成本,增强了平台的约束作用,并且降低了运维成本,保持了平台的高稳定性。The development of the paid knowledge market benefits from the rapid development of intelligent recommendation technology. However, existing payment mechanisms have not fully adapted to this change, so more efficient and sustainable payment models need to be established. Therefore, an initial two-party evolutionary game model is constructed to reveal the influence of intelligent recommendation technology on the creation cost of knowledge products and the time cost of consumers, as well as the inhibition effect on speculation. Considering the influence of intelligent recommendation technology on the platform operation and payment mechanism, simulation analysis further verifies that intelligent recommendation technology can improve the creation cost of knowledge products, but reduce the time cost, enhance the constraint effect of the platform, reduce the operation and maintenance cost, and maintain the high stability of the platform.展开更多
文摘知识付费市场的发展受益于智能推荐技术的快速发展。然而,现有支付机制尚未完全适应这一变革,因此需要建立更有效和可持续的支付模式。为此,构建了初始的两方演化博弈模型,揭示了智能推荐技术对知识产品创作成本和消费者时间成本的影响,以及对投机行为的抑制作用。考虑了智能推荐技术对平台运营和支付机制的影响,通过仿真分析,进一步验证智能推荐技术提高了知识产品创作成本,但降低了时间成本,增强了平台的约束作用,并且降低了运维成本,保持了平台的高稳定性。The development of the paid knowledge market benefits from the rapid development of intelligent recommendation technology. However, existing payment mechanisms have not fully adapted to this change, so more efficient and sustainable payment models need to be established. Therefore, an initial two-party evolutionary game model is constructed to reveal the influence of intelligent recommendation technology on the creation cost of knowledge products and the time cost of consumers, as well as the inhibition effect on speculation. Considering the influence of intelligent recommendation technology on the platform operation and payment mechanism, simulation analysis further verifies that intelligent recommendation technology can improve the creation cost of knowledge products, but reduce the time cost, enhance the constraint effect of the platform, reduce the operation and maintenance cost, and maintain the high stability of the platform.
