HORIZON: A Benchmark for In-the-wild User Behaviour Modeling (2026.findings-acl)
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| Challenge: | Existing user modeling benchmarks focus on short sessions and next-item prediction within a single domain. |
| Approach: | They propose a benchmark that reformulates user modeling along three axes . it covers 54M users and 35M items, enabling pretraining and evaluation . they propose tasks and evaluation setups that better reflect real-world deployment scenarios . |
| Outcome: | The proposed benchmark covers 54M users and 35M items, and is based on Amazon Reviews. |
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