Recommendation model combining review’s feature and rating graph convolutional representation
In order to fully exploit the effective information of the ratings and further investigate the importance of the review, a recommendation model combining review’s feature and rating graph convolutional representation was proposed.Graph convolutional neural network was used to learn the representatio...
Saved in:
| Main Authors: | Hailin FENG, Xiao ZHANG, Tongcun LIU |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2022-03-01
|
| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2022049 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Recommendation model combining review’s feature and rating graph convolutional representation
by: Hailin FENG, et al.
Published: (2022-03-01) -
Feature recommendation strategy for graph convolutional network
by: Jisheng Qin, et al.
Published: (2022-12-01) -
Knowledge graph convolutional networks with user preferences for course recommendation
by: Zhong Hua, et al.
Published: (2025-08-01) -
Light Graph Convolutional Recommendation Algorithm Based on Hybrid Spreading
by: Yaowei Duan, et al.
Published: (2025-02-01) -
The Graph Attention Recommendation Method for Enhancing User Features Based on Knowledge Graphs
by: Hui Wang, et al.
Published: (2025-01-01)