Collaborative Filtering Recommendation Combining Adversarial Network and Attention Mechanism

Kehua Yang; Jie Yin; Wei Zhang; Jing Liu

doi:10.1007/978-3-030-70665-4_16

ScienceGate Book Chapters

BOOK-CHAPTER

Collaborative Filtering Recommendation Combining Adversarial Network and Attention Mechanism

Kehua Yang Jie Yin Wei Zhang Jing Liu

Year: 2021 Lecture notes on data engineering and communications technologies Pages: 131-140 Publisher: Springer International Publishing

DOI: 10.1007/978-3-030-70665-4_16

Get Full-Text PDF Get Analytical Report

Keywords:

Adversarial system Mechanism (biology) Computer science Generator (circuit theory) Generative grammar Generative adversarial network Artificial intelligence Weight Value (mathematics) Competition (biology) Machine learning Theoretical computer science Data mining Deep learning Mathematics

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.14

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Recommender Systems and Techniques

Physical Sciences → Computer Science → Information Systems

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Video Analysis and Summarization

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Collaborative Filtering Recommendation Combining Adversarial Network and Attention Mechanism

Metrics

Topics

Related Documents

Collaborative filtering with a deep adversarial and attention network for cross-domain recommendation

Collaborative Filtering Recommendation Algorithm Based on Multimodal Attention Mechanism

Collaborative Filtering Recommendation Algorithm Based on Attention GRU and Adversarial Learning

Graph Neural Network Collaborative Filtering Recommendation with Integrated Attention Mechanism and Contrastive Learning

LCAN: Light Cross-Attention Network for Collaborative Filtering Recommendation