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Simuser:Simulatinguserbehavior with large language models for recommender system evaluation

2 Pith papers cite this work. Polarity classification is still indexing.

2 Pith papers citing it

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citation-polarity summary

fields

cs.HC 1 cs.IR 1

years

2026 1 2025 1

roles

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representative citing papers

How Well Do Large Language Models Capture Human Personality?

cs.HC · 2026-05-12 · unverdicted · novelty 7.0

Richer persona descriptions in LLMs cause systematic contraction of representational and behavioral diversity, with simple age-gender prompts outperforming complex ideal customer profiles in downstream accuracy.

A Survey on Generative Recommendation: Data, Model, and Tasks

cs.IR · 2025-10-31 · accept · novelty 6.0

This survey organizes generative recommendation into data, model, and task dimensions, identifying five advantages including world knowledge integration and creative generation while noting challenges in benchmarks and efficiency.

citing papers explorer

Showing 2 of 2 citing papers.

  • How Well Do Large Language Models Capture Human Personality? cs.HC · 2026-05-12 · unverdicted · none · ref 7

    Richer persona descriptions in LLMs cause systematic contraction of representational and behavioral diversity, with simple age-gender prompts outperforming complex ideal customer profiles in downstream accuracy.

  • A Survey on Generative Recommendation: Data, Model, and Tasks cs.IR · 2025-10-31 · accept · none · ref 6

    This survey organizes generative recommendation into data, model, and task dimensions, identifying five advantages including world knowledge integration and creative generation while noting challenges in benchmarks and efficiency.