Emotion Classification Representation Method Based on Multimodal Hierarchical Feature Mapping and Fusion DOI
Hao Pang,

Yuming Sun,

Zhihui Lai

et al.

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), Journal Year: 2024, Volume and Issue: unknown, P. 1533 - 1540

Published: Sept. 20, 2024

Language: Английский

Knowledge-aware recommendation based on hypergraph representation learning and transformer model optimization DOI

Yuqi Zuo,

Yunfeng Zhang, Qiuyue Zhang

et al.

Applied Intelligence, Journal Year: 2025, Volume and Issue: 55(5)

Published: Jan. 16, 2025

Language: Английский

Citations

1
Do word-of-mouth-based conversational AI recommendations enhance tourism consumers’ acceptance? The moderating role of transparency DOI
Yaobin Wang, Haoyang Miao,

Meiling Xiong

et al.

Current Issues in Tourism, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 20

Published: Feb. 9, 2025

Language: Английский

Citations

0
Explainable next POI recommendation based on spatial-temporal disentanglement representation and pseudo profile generation DOI
Jun Zeng,

Hongjin Tao,

Junhao Wen

et al.

Knowledge-Based Systems, Journal Year: 2024, Volume and Issue: unknown, P. 112784 - 112784

Published: Nov. 1, 2024

Language: Английский

Citations

1
The Application of Artificial Intelligence Technology in Improving the Quality of Teaching and Learning in Computer Education DOI Creative Commons
Yanyan Zheng, Yifeng Pan, Zhengmin Zhang

et al.

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract The personalized recommendation of courses and exercises can realize more accurate, tailor-made teaching, significantly improve teaching efficiency, stimulate students’ learning interest motivation. In this paper, we first obtain the knowledge point data computer specialties then extract course entities using TF-IDF algorithm. We use artificial rules to relationships between entities, design an estimation method for mastery points, combine graph generate different sequences students, recommend resources them. Then, a simple Bayesian classification algorithm classify characterize text learners by combining their degree difficulty, other characteristics. system in paper is applied program at university Guangzhou compare effect. It was found that average grade experimental class 11.25 points higher than control class, improvement 11.92 compared pre-test, distribution scores clearly progressed from 75-80 range 85-90 range. three dimensions perceived usefulness, ease use, intention vast majority respondents chose agree or strongly agree, score survey 4.31, 4.24, 4.18, respectively, indicating easy operate has reasonable functional results recommended basically conform learners’ psychological expectations practical needs. This study proposes feasible path integration intelligence technology into which will quality efficiency education teaching.

Language: Английский

Citations

0
Emotion Classification Representation Method Based on Multimodal Hierarchical Feature Mapping and Fusion DOI
Hao Pang,

Yuming Sun,

Zhihui Lai

et al.

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), Journal Year: 2024, Volume and Issue: unknown, P. 1533 - 1540

Published: Sept. 20, 2024

Language: Английский

Citations

0