Review-guided helpful answer identification in e-commerce
Product-specific community question answering platforms can greatly help address the concerns of potential customers. However, the user-provided answers on such platforms often vary a lot in their qualities. Helpfulness votes from the community can indicate the overall quality of the answer, but the...
Saved in:
Main Authors: | ZHANG, Wenxuan, LAM, Wai, DENG, Yang, MA, Jing |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2020
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/9111 https://ink.library.smu.edu.sg/context/sis_research/article/10114/viewcontent/3366423.3380015.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Opinion-aware answer generation for review-driven question answering in e-commerce
by: DENG, Yang, et al.
Published: (2020) -
Toward personalized answer generation in e-commerce via multi-perspective preference modeling
by: DENG, Yang, et al.
Published: (2022) -
Modelling domain relationships for transfer learning on retrieval-based question answering systems in e-commerce
by: YU, Jianfei, et al.
Published: (2018) -
Aggregated community question answering
by: Snehasish Banerjee, et al.
Published: (2015) -
Product question answering in e-commerce: A survey
by: DENG, Yang, et al.
Published: (2023)