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pith:2026:PVLXGAPZ4XEJ2GP7CYVKWBFPCZ
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HARPO: Hierarchical Agentic Reasoning for User-Aligned Conversational Recommendation

Aman Vaibhav Jha, Mayank Anand, Sriparna Saha, Subham Raj

HARPO uses hierarchical preference learning and value-guided tree search to optimize conversational recommendations for multi-dimensional user quality.

arxiv:2604.10048 v2 · 2026-04-11 · cs.IR

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Claims

C1strongest claim

HARPO integrates hierarchical preference learning that decomposes recommendation quality into interpretable dimensions (relevance, diversity, predicted user satisfaction, and engagement) and learns context-dependent weights over these dimensions; (ii) deliberative tree-search reasoning guided by a learned value network that evaluates candidate reasoning paths based on predicted recommendation quality rather than task completion; and (iii) domain-agnostic reasoning abstractions through Virtual Tool Operations and multi-agent refinement, enabling transferable recommendation reasoning across domains. We evaluate HARPO on ReDial, INSPIRED, and MUSE, demonstrating consistent improvements over strong baselines on recommendation-centric metrics while maintaining competitive response quality.

C2weakest assumption

That the learned value network and context-dependent weights over the four quality dimensions accurately capture and optimize for actual user-aligned recommendation quality in real interactions, rather than merely correlating with the chosen proxy metrics on the evaluation datasets.

C3one line summary

HARPO reframes conversational recommendation as hierarchical agentic reasoning with learned weights over quality dimensions and value-guided tree search, yielding better recommendation metrics on ReDial, INSPIRED, and MUSE.

Receipt and verification
First computed 2026-06-09T01:05:17.105780Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

7d577301f9e5c89d19ff162aab04af167b3db7f4edca34031245a82fa3d6f79a

Aliases

arxiv: 2604.10048 · arxiv_version: 2604.10048v2 · doi: 10.48550/arxiv.2604.10048 · pith_short_12: PVLXGAPZ4XEJ · pith_short_16: PVLXGAPZ4XEJ2GP7 · pith_short_8: PVLXGAPZ
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/PVLXGAPZ4XEJ2GP7CYVKWBFPCZ \
  | jq -c '.canonical_record' \
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Canonical record JSON
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