Improving the Performance of Answers Ranking in Q&A Communities: A Long-Text Matching Technique and Pre-Trained Model

Improving the Performance of Answers Ranking in Q&A Communities: A Long-Text Matching Technique and Pre-Trained Model

This paper introduces TR-BERT, a novel method to answer ranking in Question & Answer (Q&A) communities, designed to tackle the widespread challenges of irrelevant popular answers and the neglect of new questions. TR-BERT integrates a long-text matching technique with a pre-trai...

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Bibliographic Details
Main Authors: Siyu Sun, Yiming Wang, Jiale Cheng, Zhiying Xiao, Daqing Zheng, Xiaoling Hao
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Q&A community
answer ranking
TR-BERT
deep neural network
Online Access:https://ieeexplore.ieee.org/document/10813354/
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