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Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction
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Matrix Factorization Techniques for Recommender Systems
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Ratings meet reviews, a combined approach to recommend
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A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval
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Twitter Sentiment Analysis with Deep Convolutional Neural Networks
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Collaborative Deep Learning for Recommender Systems
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Learning Distributed Representations from Reviews for Collaborative Filtering
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Convolutional Matrix Factorization for Document Context-Aware Recommendation
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Deep Neural Networks for YouTube Recommendations
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TopicMF: Simultaneously Exploiting Ratings and Reviews for Recommendation
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Character-Aware Neural Language Models
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Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
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Effective Approaches to Attention-based Neural Machine Translation
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Hierarchical Attention Networks for Document Classification
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Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing - EMNLP '06
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Glove: Global Vectors for Word Representation
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Learning Semantic Representations of Users and Products for Document Level Sentiment Classification
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Neural Machine Translation by Jointly Learning to Align and Translate
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Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
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Character-level Convolutional Networks for Text Classification
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Latent Dirichlet Allocation
What points at this work
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Multi-Aspect enhanced Graph Neural Networks for recommendation
inferred← citeshttps://doi.org/10.1016/j.patrec.2025.01.009openalex-snapshot
Context2Rec: Leveraging comment text semantics and sequential features for enhanced recommendation systems
inferred← citeshttps://doi.org/10.1016/j.procs.2022.01.260openalex-snapshot
Improving the Interpretability of GradCAMs in Deep Classification Networks
inferred← citeshttps://doi.org/10.1038/s41598-023-40633-4openalex-snapshot
Attentional factorization machine with review-based user–item interaction for recommendation
inferred← citeshttps://doi.org/10.1049/cje.2020.01.004openalex-snapshot
A Hybrid Aspect Based Latent Factor Model for Recommendation
inferred← citeshttps://doi.org/10.1080/00032719.2020.1788050openalex-snapshot
PM2.5 Forecast Based on a Multiple Attention Long Short-Term Memory (MAT-LSTM) Neural Networks
inferred← citeshttps://doi.org/10.1080/09669582.2020.1778011openalex-snapshot
Responsible processing of crowdsourced tourism data
inferred← citeshttps://doi.org/10.1080/19331681.2026.2697183openalex-snapshot
Factors that influence a country to exercise its capacity for digital repression
inferred← citeshttps://doi.org/10.1093/infdis/jiad158openalex-snapshot
Artificial Intelligence and Infectious Disease Imaging
inferred← citeshttps://doi.org/10.1108/el-06-2020-0154openalex-snapshot
Using latent features for building an interpretable recommendation system
inferred← citeshttps://doi.org/10.1108/jibr-02-2021-0080openalex-snapshot
Testing the impact of uncertainty reducing reviews in the prediction of cross domain social media pages ratings
inferred← citeshttps://doi.org/10.1109/access.2018.2870052openalex-snapshot
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
inferred← citeshttps://doi.org/10.1109/access.2018.2871970openalex-snapshot
SEMA: Deeply Learning Semantic Meanings and Temporal Dynamics for Recommendations
inferred← citeshttps://doi.org/10.1109/access.2018.2886256openalex-snapshot
SEMAX: Multi-Task Learning for Improving Recommendations
inferred← citeshttps://doi.org/10.1109/access.2018.2890480openalex-snapshot
Improving Recommendations by Embedding Multi-Entity Relationships With Latent Dual-Metric Learning
inferred← citeshttps://doi.org/10.1109/access.2019.2907729openalex-snapshot
Sentiment-Aware Deep Recommender System With Neural Attention Networks
inferred← citeshttps://doi.org/10.1109/access.2019.2931357openalex-snapshot
Neural Collaborative Embedding From Reviews for Recommendation
inferred← citeshttps://doi.org/10.1109/access.2019.2937375openalex-snapshot
Asking Images: Hybrid Recommendation System for Tourist Spots by Hierarchical Sampling Statistics and Multimodal Visual Bayesian Personalized Ranking
inferred← citeshttps://doi.org/10.1109/access.2019.2941236openalex-snapshot
Multi-Level Fine-Grained Interactions for Collaborative Filtering
inferred← citeshttps://doi.org/10.1109/access.2019.2954957openalex-snapshot
Contextual Hybrid Session-Based News Recommendation With Recurrent Neural Networks
inferred← citeshttps://doi.org/10.1109/access.2020.2978272openalex-snapshot
Visual and Textual Jointly Enhanced Interpretable Fashion Recommendation
inferred← citeshttps://doi.org/10.1109/access.2020.2981088openalex-snapshot
Extreme Residual Connected Convolution-Based Collaborative Filtering for Document Context-Aware Rating Prediction
inferred← citeshttps://doi.org/10.1109/access.2020.2982654openalex-snapshot
Attention-Based Radar PRI Modulation Recognition With Recurrent Neural Networks
inferred← citeshttps://doi.org/10.1109/access.2020.2993063openalex-snapshot
Context-Aware User and Item Representations Based on Unsupervised Context Extraction From Reviews
inferred← citeshttps://doi.org/10.1109/access.2020.2997115openalex-snapshot
Attention-Based Adaptive Memory Network for Recommendation With Review and Rating
inferred← citeshttps://doi.org/10.1109/access.2020.3006141openalex-snapshot
Recommended System: Attentive Neural Collaborative Filtering
inferred← citeshttps://doi.org/10.1109/access.2020.3013639openalex-snapshot
Aspect-Based Fashion Recommendation With Attention Mechanism
inferred← citeshttps://doi.org/10.1109/access.2020.3028587openalex-snapshot
MP4Rec: Explainable and Accurate Top-N Recommendations in Heterogeneous Information Networks
inferred← citeshttps://doi.org/10.1109/access.2020.3029722openalex-snapshot
CATA++: A Collaborative Dual Attentive Autoencoder Method for Recommending Scientific Articles
inferred← citeshttps://doi.org/10.1109/access.2020.3031621openalex-snapshot
Rating Prediction Based on Merge-CNN and Concise Attention Review Mining
inferred← citeshttps://doi.org/10.1109/access.2020.3044046openalex-snapshot
Joint Matrix Factorization: A Novel Approach for Recommender System
inferred← citeshttps://doi.org/10.1109/access.2021.3053291openalex-snapshot
Integrating Stacked Sparse Auto-Encoder Into Matrix Factorization for Rating Prediction
inferred← citeshttps://doi.org/10.1109/access.2021.3076146openalex-snapshot
Improving Explainable Recommendations by Deep Review-Based Explanations
inferred← citeshttps://doi.org/10.1109/access.2021.3080079openalex-snapshot
Research on BP Neural Network Recommendation Model Fusing User Reviews and Ratings
inferred← citeshttps://doi.org/10.1109/access.2021.3100762openalex-snapshot
Adaptive Learning User Implicit Trust Behavior Based on Graph Convolution Network
inferred← citeshttps://doi.org/10.1109/access.2021.3128769openalex-snapshot
Personalized Preference Drift Aware Sequential Recommender System
inferred← citeshttps://doi.org/10.1109/access.2023.3246060openalex-snapshot
Recommendation System Based on Deep Sentiment Analysis and Matrix Factorization
inferred← citeshttps://doi.org/10.1109/access.2025.3530431openalex-snapshot
Research on Personalized Recommendation Algorithm Integrating Cross-Grained Sentiment and Rating Interaction Features
inferred← citeshttps://doi.org/10.1109/access.2025.3598937openalex-snapshot
Utilizing Advanced Transformers for Summarized Review-Aware Recommender System
inferred← citeshttps://doi.org/10.1109/access.2026.3719643openalex-snapshot
LLM-Guided Review Condensation for Text-Convolutional Recommendation
inferred← citeshttps://doi.org/10.1109/aeeca59734.2023.00154openalex-snapshot
A Movie Recommendation Algorithm Combining Time Weight GRU and Attention
inferred← citeshttps://doi.org/10.1109/bigdata.2018.8622542openalex-snapshot
PER: A Probabilistic Attentional Model for Personalized Text Recommendations
inferred← citeshttps://doi.org/10.1109/bigdata50022.2020.9377829openalex-snapshot
MuLan: Multilevel Language-based Representation Learning for Disease Progression Modeling
inferred← citeshttps://doi.org/10.1109/bigdata55660.2022.10020296openalex-snapshot
RI-GCN: Review-aware Interactive Graph Convolutional Network for Review-based Item Recommendation
inferred← citeshttps://doi.org/10.1109/bigdata55660.2022.10020741openalex-snapshot
Multi-criteria Rating and Review based Recommendation Model
inferred← citeshttps://doi.org/10.1109/cecit53797.2021.00155openalex-snapshot
QINR: A Quantum-Inspired Network for Interpretable Review-based Recommendation
inferred← citeshttps://doi.org/10.1109/cscwd49262.2021.9437849openalex-snapshot
A Review Construction-based Approach to Collaborative Filtering
inferred← citeshttps://doi.org/10.1109/csit65290.2024.10982556openalex-snapshot
Enhancing Recommender Systems: A Hybrid Approach Using Sentiment Analysis and Collaborative Filtering
inferred← citeshttps://doi.org/10.1109/csrswtc67757.2025.11384545openalex-snapshot
A Parallel Fault Diagnosis Framework Based on KNN-Graph Convolution and BiGRU with Global Attention
inferred← citeshttps://doi.org/10.1109/dsaa.2019.00015openalex-snapshot
MARS: Memory Attention-Aware Recommender System
inferred← citeshttps://doi.org/10.1109/dsc59305.2023.00064openalex-snapshot
Research on Recommendation Algorithms Based on Asymmetric Attention Mechanism Models
inferred← citeshttps://doi.org/10.1109/eiect60552.2023.10442544openalex-snapshot
Design and Development of a Sentiment Analysis System for Chinese Online Comment Texts
inferred← citeshttps://doi.org/10.1109/gcwkshps50303.2020.9367497openalex-snapshot
Deep Learning-based Prediction of Traffic Accident Risk in Vehicular Networks
inferred← citeshttps://doi.org/10.1109/globecom46510.2021.9685227openalex-snapshot
Semantic Analysis and Preference Capturing on Attentive Networks for Rating Prediction
inferred← citeshttps://doi.org/10.1109/iaecst54258.2021.9695561openalex-snapshot
Dual Attention Modeling between Users and Items Using Review for Recommendation
inferred← citeshttps://doi.org/10.1109/icacte62428.2024.10871901openalex-snapshot
CRDB: Commodity Recommendation Model Combining DGNN and BiGRU
inferred← citeshttps://doi.org/10.1109/icaica52286.2021.9498244openalex-snapshot
Deep Recommendation Based on Dual Attention Mechanism
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