KANM$^{2}$L: Enhancing Multi-Modal Recommendation With KAN and Dilated Attention

Yi Xue; Qianqian Ren; Yong Liu; Jianguo Sun

doi:10.1109/tmm.2025.3623555

ScienceGate Book Chapters

JOURNAL ARTICLE

KANM$^{2}$L: Enhancing Multi-Modal Recommendation With KAN and Dilated Attention

Yi Xue Qianqian Ren Yong Liu Jianguo Sun

Year: 2025 Journal: IEEE Transactions on Multimedia Vol: 28 Pages: 574-587 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/tmm.2025.3623555

Get Full-Text PDF Get Analytical Report

Keywords:

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.55

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Recommender Systems and Techniques

Physical Sciences → Computer Science → Information Systems

Topic Modeling

Physical Sciences → Computer Science → Artificial Intelligence

Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

KANM$^{2}$L: Enhancing Multi-Modal Recommendation With KAN and Dilated Attention

Metrics

Topics

Related Documents

Multi-scale Dilated Attention Enhanced Multi-modal Self-supervised GANs for Recommendation

AGREE: Attention-Based Tour Group Recommendation with Multi-modal Data

Multi-modal Graph Attention Network for Video Recommendation

Enhancing Recommendation Systems with Multi-Modal Transformers in Cross-Domain Scenarios

Enhancing Recommendation Systems with Multi-Modal Transformers in Cross-Domain Scenarios