ECP-Bench: Benchmarking and Learning Entertainment Content Promotion with Foundation Models
Content promotion spans a broad set of skills, from understanding content to forecasting its market reception. However, LLMs' ability to support such promotion decisions remains underexplored. Existing studies are often limited to a single task (e.g., popularity prediction) or a small set of tasks within a single domain (e.g., movies). As a result, there is a lack of understanding of LLMs' abilities in the full promotion process and how these abilities generalize across different tasks and domains. In this work, we introduce ECP-Bench, a benchmark containing 1.9M movie, game, and music items and 423,451 questions across 33 tasks in five content-promotion skill families. Our evaluation sho...
| Authors | Hyomin Kim, Bowen Chen, Jin Huang et al. |
|---|---|
| Primary category | cs.IR |
| Published | 26 August 2026 |
| Last updated at source | 26 August 2026 |
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