Ye Tao

Orcid: 0000-0002-0996-9833

Affiliations:

Griffith University, Gold Coast, Queensland, Australia

According to our database¹, Ye Tao authored at least 5 papers between 2020 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

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Bibliography

2023

Dynamic weighted ensemble learning for sequential recommendation systems: The AIRE model.

[BibT_eX]

[DOI]

Ye Tao

Can Wang

Alan Wee-Chung Liew

Future Gener. Comput. Syst., December, 2023

Item trend learning for sequential recommendation system using gated graph neural network.

[BibT_eX]

[DOI]

Neural Comput. Appl., June, 2023

Knowledge Graphs and Pre-trained Language Models enhanced Representation Learning for Conversational Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Enhancing recommender ensemble by estimating input fitness.

[BibT_eX]

[DOI]

Comput. Electr. Eng., 2022

2020

TRec: Sequential Recommender Based On Latent Item Trend Information.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Ye Tao

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