Methods › Natural Language Processing › Textual Inference Models › RAHP
Review-guided Answer Helpfulness Prediction
RAHP
Introduced by Wenxuan Zhang et al. in Review-guided Helpful Answer Identification in E-commerce
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Review-guided Answer Helpfulness Prediction (RAHP) is a textual inference model for identifying helpful answers in e-commerce. It not only considers the interactions between QA pairs, but also investigates the opinion coherence between the answer and crowds' opinions reflected in the reviews, which is another important factor to identify helpful answers.
Papers archive 2025-07-28
2 shown of 2, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Relation-aware Hierarchical Prompt for Open-vocabulary Scene Graph Generation 26 Dec 2024 · 0 repositories · arXiv:2412.19021
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Review-guided Helpful Answer Identification in E-commerce 13 Mar 2020 · 1 repository · arXiv:2003.06209
Tasks archive 2025-07-28
8 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Answer Selection | 1 |
| Community Question Answering | 1 |
| Graph Generation | 1 |
| Large Language Model | 1 |
| Question Answering | 1 |
| Relation | 1 |
| Scene Graph Generation | 1 |
| Triplet | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections