Propose an alternative generative model that can efficiently handle large-scale user interactions and provide real-time recommendations. Explain the tradeoffs in your proposed solution.

Replace the binary Boltzmann machine with a Generative Adversarial Network (GAN). This changes the training procedure from sampling-based to adversarial, providing faster convergence at the cost of requiring two separate networks: generator and discriminator. The GAN also requires careful balancing between generator and discriminator capacities.