RAKCR: Reviews sentiment-aware based knowledge graph convolutional networks for Personalized Recommendation

Yachao Cui; Hongli Yu; Xiaoxu Guo; Han Cao; Lei Wang

doi:10.1016/j.eswa.2024.123403

ScienceGate Book Chapters

JOURNAL ARTICLE

RAKCR: Reviews sentiment-aware based knowledge graph convolutional networks for Personalized Recommendation

Yachao Cui Hongli Yu Xiaoxu Guo Han Cao Lei Wang

Year: 2024 Journal: Expert Systems with Applications Vol: 248 Pages: 123403-123403 Publisher: Elsevier BV

DOI: 10.1016/j.eswa.2024.123403

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Knowledge graph Graph Information retrieval Convolutional neural network Sentiment analysis Artificial intelligence Data science Theoretical computer science

Metrics

Cited By

44.30

FWCI (Field Weighted Citation Impact)

Refs

1.00

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Recommender Systems and Techniques

Physical Sciences → Computer Science → Information Systems

Advanced Graph Neural Networks

Physical Sciences → Computer Science → Artificial Intelligence

Topic Modeling

Physical Sciences → Computer Science → Artificial Intelligence

RAKCR: Reviews sentiment-aware based knowledge graph convolutional networks for Personalized Recommendation

Metrics

Citation History

Topics

Related Documents

Personalized knowledge-aware recommendation with collaborative and attentive graph convolutional networks

Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation

Effective Knowledge-Aware Recommendation via Graph Convolutional Networks

Dual Knowledge Aware Graph Convolutional Networks Over Aspect Based Sentiment Analysis

Sequence-Aware Service Recommendation Based on Graph Convolutional Networks