Session-Based Graph Convolutional ARMA Filter Recommendation Model

Session-Based Graph Convolutional ARMA Filter Recommendation Model

With the rapid popularity of Internet shopping, session-based personalized recommendations have become an important means to help people discover their potentially interesting items in real-time. Most existing works only model a session as a sequence and use recurrent neural networks for recommendat...

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Bibliographic Details
Main Authors: Huanwen Wang, Guangyi Xiao, Ning Han, Hao Chen
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
ARMA
attention mechanism
graph convolutional networks
sequential behavior
session-based recommendation
Online Access:https://ieeexplore.ieee.org/document/9050414/

Internet

https://ieeexplore.ieee.org/document/9050414/

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