Learning hierarchical review graph representations for recommendation
The user review data have been demonstrated to be effective in solving different recommendation problems. Previous review-based recommendation methods usually employ sophisticated compositional models, such as Recurrent Neural Networks (RNN) and Convolutional Neural Networks (CNN), to learn semantic...
Saved in:
Main Authors: | Liu, Yong, Yang, Susen, Zhang, Yinan, Miao, Chunyan, Nie, Zaiqing, Zhang, Juyong |
---|---|
Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/156038 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Contextualized graph attention network for recommendation with item knowledge graph
by: Liu, Yong, et al.
Published: (2022) -
Learning and Reasoning on Graph for Recommendation
by: Xiang Wang, et al.
Published: (2020) -
Learning and Reasoning on Graph for Recommendations
by: Xiang Wang, et al.
Published: (2020) -
Learning urban region representations with POIs and hierarchical graph infomax
by: Huang, Weiming, et al.
Published: (2023) -
Pre-training graph transformer with multimodal side information for recommendation
by: Liu, Yong, et al.
Published: (2022)