Pith Number

pith:HW4NQQAS

pith:2026:HW4NQQASS3F6IBD4HKHQMPRZNY

not attested not anchored not stored refs resolved

Task-Aware Automated User Profile Generation for Recommendation Simulation Using Large Language Models

Chenglong Ma, Danula Hettiachchi, Jeffrey Chan, Xinye Wanyan, Ziqi Xu

APG4RecSim automatically generates realistic user profiles for LLM-based recommender simulations with minimal supervision.

arxiv:2605.13497 v1 · 2026-05-13 · cs.IR

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{HW4NQQASS3F6IBD4HKHQMPRZNY}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

APG4RecSim achieves the best overall performance on discrimination, ranking, and rating tasks, improving ranking quality by up to 7% in nDCG@10 and reducing rating distribution divergence by 8% in JSD compared to existing profile-generation baselines.

C2weakest assumption

That profiles generated by the LLM with minimal supervision accurately capture real user dynamics and produce simulated interactions that align with actual user behavior across datasets.

C3one line summary

APG4RecSim automatically generates realistic user profiles for LLM-based recommendation simulations, outperforming manual baselines by up to 7% in nDCG@10 and 8% in JSD on three benchmark datasets.

References

51 extracted · 51 resolved · 1 Pith anchors

[1] Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher, and Edward Malthouse. 2021. User-centered Evaluation of Popularity Bias in Recom- mender Systems. InProceedings of the 29th ACM Con 2021 · doi:10.1145/3450613

[2] Mohammad Yahya H. Al-Shamri. 2016. User profiling approaches for demo- graphic recommender systems.Know.-Based Syst.100, C (May 2016), 175–187. doi:10.1016/j.knosys.2016.03.006 2016 · doi:10.1016/j.knosys.2016.03.006

[3] InProceedings of the CHI Conference on Human Factors in Computing Systems (CHI ’24) 2024 · doi:10.1145/3613904.3642081

[4] In: Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) 2025 · doi:10.18653/v1/2025.acl-

[6] Nicholas Carlini, Daphne Ippolito, Matthew Jagielski, Katherine Lee, Florian Tramèr, and Chiyuan Zhang. 2023. Quantifying Memorization Across Neu- ral Language Models. InThe Eleventh International Con 2023

Receipt and verification

First computed	2026-05-18T02:44:41.069912Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

3db8d8401296cbe4047c3a8f063e396e084b072b6afe2be66cf8de42b39ede70

Aliases

arxiv: 2605.13497 · arxiv_version: 2605.13497v1 · doi: 10.48550/arxiv.2605.13497 · pith_short_12: HW4NQQASS3F6 · pith_short_16: HW4NQQASS3F6IBD4 · pith_short_8: HW4NQQAS

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/HW4NQQASS3F6IBD4HKHQMPRZNY \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 3db8d8401296cbe4047c3a8f063e396e084b072b6afe2be66cf8de42b39ede70

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "2b59c795f02340e2c0b340672a5b3aadeab86bb9f041a31093428cfb7eecb441",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.IR",
    "submitted_at": "2026-05-13T13:20:39Z",
    "title_canon_sha256": "9291bb7dd19f9e058c3508d21df2cabeecb5eb43dbdc2cbf061252264a00fd36"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.13497",
    "kind": "arxiv",
    "version": 1
  }
}