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LiveSim framework simulates evolving user behavior in live-streaming ecosystems

By PulseAugur Editorial · [1 sources] ·

Researchers have developed LiveSim, a new framework designed to simulate user behavior in multi-agent live-streaming environments. Unlike previous simulators that use static user profiles, LiveSim represents users as dynamic behavioral hypotheses that evolve through interactions. This approach allows for the refinement of user behavior based on discrepancies between simulated and observed trajectories, capturing the influence of the environment. Experiments using real-world live-stream data demonstrate LiveSim's ability to enhance user-level behavioral accuracy and support ecosystem-level analysis of risks and platform interventions. AI

IMPACT Enhances simulation capabilities for complex, interactive digital environments like live-streaming platforms.

RANK_REASON The cluster contains a research paper detailing a new simulation framework. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.MA (Multiagent) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LiveSim framework simulates evolving user behavior in live-streaming ecosystems

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The cluster contains a research paper detailing a new simulation framework. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Xueqi Cheng ·

    LiveSim: Simulating Environment-Shaped Users in Multi-Agent Live-Stream Ecosystems

    User behavior simulation with large language models~(LLMs) is increasingly used to support multi-agent ecosystem simulation. Existing simulators typically rely on static user profiles inferred from historical observations, which become inadequate in socially intensive environment…

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