CQARank: Jointly Model Topics and Expertise in Community Question Answering
Community Question Answering (CQA) websites, where people share expertise on open platforms, have become large repositories of valuable knowledge. To bring the best value out of these knowledge repositories, it is critically important for CQA services to know how to find the right experts, retrieve...
Saved in:
Main Authors: | YANG, Liu, QIU, Minghui, GOTTOPATI, Swapna, ZHU, Feida, JIANG, Jing, SUN, Huiping, CHEN, Zhong |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2013
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/2232 https://ink.library.smu.edu.sg/context/sis_research/article/3232/viewcontent/CIKM_13.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Learning Topics and Positions from Debatepedia
by: GOTTOPATI, Swapna, et al.
Published: (2013) -
Topic Expertise Model
by: YANG, Liu, et al.
Published: (2013) -
It Is Not Just What We Say, But How We Say Them: LDA-based Behavior-Topic Model
by: QIU, Minghui, et al.
Published: (2013) -
NOAHQA: Numerical reasoning with interpretable graph question answering dataset
by: ZHANG, Qiyuan, et al.
Published: (2021) -
Knowledge base question answering with a matching-aggregation model and question-specific contextual relations
by: LAN, Yunshi, et al.
Published: (2019)