Design of personalized recommendation method for entertainment news based on collaborative filtering algorithm-Reference-Cited by-同舟云学术

Design of personalized recommendation method for entertainment news based on collaborative filtering algorithm

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)
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Author:

Liu Ruqing¹,Liu Lin²

Affiliation:

1. School of Communication, Hankou University,Wuhan,China,430000

2. Wuhan University of Technology Library,Wuhan,China,430070

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10071144/10070857/10071288.pdf?arnumber=10071288

Reference12 articles.

1. Combining knowledge graph into metro passenger flow prediction: A split-attention relational graph convolutional network[J];jie;Expert Systems with Applications,2023

2. Next generation drug connectivity mapping for acquiring therapeutic agents to differentially regulate myelination[J];kasum;Neural Regeneration Research,2023

3. Design of a Hybrid ANFIS–PSO Model to Estimate Sediment Transport in Open Channels

4. Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization

5. The heterogeneous green vehicle routing and scheduling problem with time-varying traffic congestion

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