TQR : Modelling user temporal preference for effective question routing

Jia Xu, Zhengkai Li, Pin Lv, Hengyu Liu, Zulong Chen, Ning Wang, Tiancheng Zhang

Open source

DOI: 10.1016/j.neunet.2026.109239
Published: 2026-12
Container: Neural Networks
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.neunet.2026.109239,
  title = {TQR : Modelling user temporal preference for effective question routing},
  author = {Jia Xu and Zhengkai Li and Pin Lv and Hengyu Liu and Zulong Chen and Ning Wang and Tiancheng Zhang},
  year = {2026},
  journal = {Neural Networks},
  doi = {10.1016/j.neunet.2026.109239},
  url = {https://doi.org/10.1016/j.neunet.2026.109239}
}

RIS

TY  - JOUR
TI  - TQR : Modelling user temporal preference for effective question routing
AU  - Jia Xu
AU  - Zhengkai Li
AU  - Pin Lv
AU  - Hengyu Liu
AU  - Zulong Chen
AU  - Ning Wang
AU  - Tiancheng Zhang
PY  - 2026
JO  - Neural Networks
DO  - 10.1016/j.neunet.2026.109239
UR  - https://doi.org/10.1016/j.neunet.2026.109239
ER  -

APA

Xu, J., Li, Z., Lv, P., Liu, H., Chen, Z., Wang, N., & Zhang, T. (2026). TQR : Modelling user temporal preference for effective question routing. Neural Networks. https://doi.org/10.1016/j.neunet.2026.109239

Source records

crossref · retrieved 2026-09-26T06:24:53.334Z