A Neighbor-Guided Memory-Based Neural Network for Session-Aware Recommendation
Session-aware recommendation is a special form of session-based recommendation, where users' historical interactions before the current session are available. Among the existing session-aware recommendation studies, recurrent neural network (RNN) is a popular choice to model users' current...
Main Authors: | Yupu Guo, Yanxiang Ling, Honghui Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9130659/ |
Similar Items
-
A Time-Aware Graph Neural Network for Session-Based Recommendation
by: Yupu Guo, et al.
Published: (2020-01-01) -
A Joint Neural Network for Session-Aware Recommendation
by: Yupu Guo, et al.
Published: (2020-01-01) -
Neural Session-Aware Recommendation
by: Tu Minh Phuong, et al.
Published: (2019-01-01) -
Hierarchical Context-Aware Recurrent Network for Session-Based Recommendation
by: Youfang Leng, et al.
Published: (2021-01-01) -
Contextual Hybrid Session-Based News Recommendation With Recurrent Neural Networks
by: Gabriel De Souza P. Moreira, et al.
Published: (2019-01-01)