Answer ranking for product-related questions via multiple semantic relations modeling

• Main Authors: ZHANG, Wenxuan, DENG, Yang, LAM, Wai
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Auxiliary information; Content consistency; Product categories; Question Answering; Semantic relations; Semantic relevance; Textual entailment; User satisfaction; Databases and Information Systems; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/9099; https://ink.library.smu.edu.sg/context/sis_research/article/10102/viewcontent/2006.15599v1.pdf
• Institution: Singapore Management University

Many E-commerce sites now offer product-specific question answering platforms for users to communicate with each other by posting and answering questions during online shopping. However, the multiple answers provided by ordinary users usually vary diversely in their qualities and thus need to be app...