Graph Neural Network and Context-Aware Based User Behavior Prediction and Recommendation System Research
Due to the influence of context information on user behavior, context-aware recommendation system (CARS) has attracted extensive attention in recent years. The most advanced context-aware recommendation system maps the original multi-field features into a shared hidden space and then simply connects...
Main Authors: | Qian Gao, Pengcheng Ma |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2020-01-01
|
Series: | Computational Intelligence and Neuroscience |
Online Access: | http://dx.doi.org/10.1155/2020/8812370 |
Similar Items
-
A Time-Aware Graph Neural Network for Session-Based Recommendation
by: Yupu Guo, et al.
Published: (2020-01-01) -
Holistic User Context-Aware Recommender Algorithm
by: Tatenda D. Kavu, et al.
Published: (2019-01-01) -
Graph Neural Networks for Article Recommendation based on Implicit User Feedback and Content
by: Bereczki, Márk
Published: (2021) -
Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation
by: Gao, K., et al.
Published: (2023) -
ReGNN: A Repeat Aware Graph Neural Network for Session-Based Recommendations
by: Xuefeng Xian, et al.
Published: (2020-01-01)