Application of improved self-training model in the identification of users with poor service quality
Poor quality user identification is an important method to reduce the complaint rate and increase satisfaction.It is difficult to effectively label a large amount of structured and unstructured data related to business perception in current telecommunications network systems, poor quality user label...
Saved in:
Main Authors: | Li YU, Zhe LI, Fei GAO, Xiangyang YUAN, Yong YANG |
---|---|
Format: | Article |
Language: | zho |
Published: |
Beijing Xintong Media Co., Ltd
2021-10-01
|
Series: | Dianxin kexue |
Subjects: | |
Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021191/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Application of machine learning in the fake user identification of IoT
by: Rongfang ZHANG, et al.
Published: (2019-07-01) -
HPM-Match: A Generic Deep Learning Framework for Historical Landslide Identification Based on Hybrid Perturbation Mean Match
by: Shuhao Ran, et al.
Published: (2025-01-01) -
DRCO: Dense-Label Refinement and Cross Optimization for Semi-Supervised Object Detection
by: Yunlong Qin, et al.
Published: (2025-01-01) -
Poor quality care in healthcare settings: an overlooked epidemic
by: Augustine Kumah
Published: (2025-01-01) -
Pro-Poor Growth: A Book Review
by: Seyedhossein Mirjalili
Published: (2017-05-01)