Hybrid high-order semantic graph representation learning for recommendations
Abstract The amount of Internet data is increasing day by day with the rapid development of information technology. To process massive amounts of data and solve information overload, researchers proposed recommender systems. Traditional recommendation methods are mainly based on collaborative filter...
Main Authors: | Canta Zheng, Wenming Cao |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer
2021-08-01
|
Series: | Discover Internet of Things |
Subjects: | |
Online Access: | https://doi.org/10.1007/s43926-021-00017-4 |
Similar Items
-
Exploration in Sequential Recommender Systems via Graph Representations
by: Dmitrii Kiselev, et al.
Published: (2022-01-01) -
A Recommender for Research Collaborators Using Graph Neural Networks
by: Jie Zhu, et al.
Published: (2022-08-01) -
Evolution of Deep Learning-Based Sequential Recommender Systems: From Current Trends to New Perspectives
by: Ji Hyung Yoon, et al.
Published: (2023-01-01) -
Survey of Graph Neural Network in Recommendation System
by: WU Jing, XIE Hui, JIANG Huowen
Published: (2022-10-01) -
Enhancing Semantic Code Search With Deep Graph Matching
by: Nazia Bibi, et al.
Published: (2023-01-01)