Product question answering in e-commerce: A survey
Product question answering (PQA), aiming to automatically provide instant responses to customer’s questions in E-Commerce platforms, has drawn increasing attention in recent years. Compared with typical QA problems, PQA exhibits unique challenges such as the subjectivity and reliability of user-gene...
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sg-smu-ink.sis_research-101352024-08-04T14:41:59Z Product question answering in e-commerce: A survey DENG, Yang ZHANG, Wenxuan YU, Qian LAM, Wai Product question answering (PQA), aiming to automatically provide instant responses to customer’s questions in E-Commerce platforms, has drawn increasing attention in recent years. Compared with typical QA problems, PQA exhibits unique challenges such as the subjectivity and reliability of user-generated contents in E-commerce platforms. Therefore, various problem settings and novel methods have been proposed to capture these special characteristics. In this paper, we aim to systematically review existing research efforts on PQA. Specifically, we categorize PQA studies into four problem settings in terms of the form of provided answers. We analyze the pros and cons, as well as present existing datasets and evaluation protocols for each setting. We further summarize the most significant challenges that characterize PQA from general QA applications and discuss their corresponding solutions. Finally, we conclude this paper by providing the prospect on several future directions. 2023-07-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/9132 info:doi/10.18653/v1/2023.acl-long.667 https://ink.library.smu.edu.sg/context/sis_research/article/10135/viewcontent/2023.acl_long.667.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Databases and Information Systems E-Commerce |
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Databases and Information Systems E-Commerce DENG, Yang ZHANG, Wenxuan YU, Qian LAM, Wai Product question answering in e-commerce: A survey |
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Product question answering (PQA), aiming to automatically provide instant responses to customer’s questions in E-Commerce platforms, has drawn increasing attention in recent years. Compared with typical QA problems, PQA exhibits unique challenges such as the subjectivity and reliability of user-generated contents in E-commerce platforms. Therefore, various problem settings and novel methods have been proposed to capture these special characteristics. In this paper, we aim to systematically review existing research efforts on PQA. Specifically, we categorize PQA studies into four problem settings in terms of the form of provided answers. We analyze the pros and cons, as well as present existing datasets and evaluation protocols for each setting. We further summarize the most significant challenges that characterize PQA from general QA applications and discuss their corresponding solutions. Finally, we conclude this paper by providing the prospect on several future directions. |
format |
text |
author |
DENG, Yang ZHANG, Wenxuan YU, Qian LAM, Wai |
author_facet |
DENG, Yang ZHANG, Wenxuan YU, Qian LAM, Wai |
author_sort |
DENG, Yang |
title |
Product question answering in e-commerce: A survey |
title_short |
Product question answering in e-commerce: A survey |
title_full |
Product question answering in e-commerce: A survey |
title_fullStr |
Product question answering in e-commerce: A survey |
title_full_unstemmed |
Product question answering in e-commerce: A survey |
title_sort |
product question answering in e-commerce: a survey |
publisher |
Institutional Knowledge at Singapore Management University |
publishDate |
2023 |
url |
https://ink.library.smu.edu.sg/sis_research/9132 https://ink.library.smu.edu.sg/context/sis_research/article/10135/viewcontent/2023.acl_long.667.pdf |
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