Enhancing sequential recommendation with contrastive Generative Adversarial Network

Shuang Ni; Wei Zhou; Junhao Wen; Linfeng Hu; Shutong Qiao

doi:10.1016/j.ipm.2023.103331

ScienceGate Book Chapters

JOURNAL ARTICLE

Enhancing sequential recommendation with contrastive Generative Adversarial Network

Shuang Ni Wei Zhou Junhao Wen Linfeng Hu Shutong Qiao

Year: 2023 Journal: Information Processing & Management Vol: 60 (3)Pages: 103331-103331 Publisher: Elsevier BV

DOI: 10.1016/j.ipm.2023.103331

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Discriminator Deep learning Transformer Artificial intelligence Recommender system Machine learning Generative adversarial network Generative model Task (project management) Process (computing) Noise (video) Generative grammar Data mining Image (mathematics)

Metrics

Cited By

24.12

FWCI (Field Weighted Citation Impact)

Refs

0.99

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Recommender Systems and Techniques

Physical Sciences → Computer Science → Information Systems

Radiomics and Machine Learning in Medical Imaging

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Generative Adversarial Networks and Image Synthesis

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Enhancing sequential recommendation with contrastive Generative Adversarial Network

Metrics

Citation History

Topics

Related Documents

Contrastive Generator Generative Adversarial Networks for Sequential Recommendation

Generative Adversarial Networks Based on Contrastive Learning for Sequential Recommendation

Contrastive learning with adversarial masking for sequential recommendation

SSRGAN: A Generative Adversarial Network for Streaming Sequential Recommendation

Enhancing Sequential Recommendation with Graph Contrastive Learning