A Group-Oriented Recommendation Algorithm Based on Similarities of Personal Learning Generative Networks

A Group-Oriented Recommendation Algorithm Based on Similarities of Personal Learning Generative Networks

To solve the lack of consideration of the learning time sequence and knowledge dependencies in group-based recommendation, we proposed a novel group-oriented recommendation algorithm which is characterized by mapping the user's learning log to a personal learning generative network (PLGN) based...

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Bibliographic Details
Main Authors: Haiping Zhu, Yifu Ni, Feng Tian, Pei Feng, Yan Chen, Qinghua Zheng
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Graph similarity
group recommendation
knowledge map
learning generative network
Online Access:https://ieeexplore.ieee.org/document/8412180/

Internet

https://ieeexplore.ieee.org/document/8412180/

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