{"url":"/method/rahp","slug":"rahp","name":"RAHP","full_name":"Review-guided Answer Helpfulness Prediction","full_name_withheld":false,"description_markdown":"**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.","description_state":"present","introduced_year":null,"introduced_by":{"title":"Review-guided Helpful Answer Identification in E-commerce","paper":"/paper/review-guided-helpful-answer-identification","first_author":"Wenxuan Zhang","n_authors":4,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/review-guided-helpful-answer-identification"},"source":{"url":"https://arxiv.org/abs/2003.06209v1","title":"Review-guided Helpful Answer Identification in E-commerce","url_on_a_paper_host":true},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"Natural Language Processing","area_id":"natural-language-processing","collection":"Textual Inference Models","url":"/methods/category/textual-inference-models","pwc_aliases":[]}],"n_papers_tagged":2,"archive_num_papers":2,"papers_newest_first":[{"paper":null,"title":"Relation-aware Hierarchical Prompt for Open-vocabulary Scene Graph Generation","date":"2024-12-26","arxiv_id":"2412.19021","n_code_links":0,"syntology":null},{"paper":"/paper/review-guided-helpful-answer-identification","title":"Review-guided Helpful Answer Identification in E-commerce","date":"2020-03-13","arxiv_id":"2003.06209","n_code_links":1,"syntology":null}],"papers_shown":2,"tasks":[{"task":"/task/answer-selection","name":"Answer Selection","papers":1},{"task":"/task/community-question-answering","name":"Community Question Answering","papers":1},{"task":"/task/graph-generation","name":"Graph Generation","papers":1},{"task":"/task/large-language-model","name":"Large Language Model","papers":1},{"task":"/task/question-answering","name":"Question Answering","papers":1},{"task":null,"name":"Relation","papers":1},{"task":"/task/scene-graph-generation","name":"Scene Graph Generation","papers":1},{"task":null,"name":"Triplet","papers":1}],"tasks_shown":8,"n_tasks":8,"usage_by_year":[{"year":"2020","papers":1},{"year":"2024","papers":1}],"row_source":"methods_table","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/rahp"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}