Latest Research in Recommender and Retrieval Engines

Top Research Topics in Recommender and Retrieval Engines

• Information Retrieval — 147 papers
• Computation and Language — 53 papers
• Recommender Systems and Techniques — 44 papers
• Sentiment Analysis and Opinion Mining — 29 papers
• Artificial Intelligence — 24 papers
• Misinformation and Its Impacts — 21 papers
• Machine Learning — 21 papers
• Gambling Behavior and Treatments — 16 papers
• Hate Speech and Cyberbullying Detection — 14 papers
• Computer Vision and Pattern Recognition — 6 papers

Highest-Cited Papers

1. Reinforcement learning in recommender systems: a comprehensive review
2. A Reinforcement Learning-Based Framework for Personalized Career Recommendations Among College Students
3. Understanding Sports Betting Among Young People: Psychosocial and Structural Influences
4. Emotion analysis and management improvement of hotel user online reviews based on BERT-RF and PLS-SEM integration
5. Early detection of online public opinion rumors for cross-event generalization
6. A Hybrid Recommendation Framework Leveraging User Community Detection and Latent Feature Extraction for Improved Personalized Recommendations
7. Clinical and financial correlates of suicide attempts among patients with gambling disorder: a retrospective study
8. Entrepreneurial project recommendation by implicit user feature extraction and DNN-MF
9. Evaluating fine-tuned, embedding-based, and zero-shot models for aspect-based sentiment analysis in South Slavic news
10. SPAR: Enhancing Industrial-Scale Generative POI Recommendation via Real-World Spatial Perception
11. Echo chamber effect within and across communities in rumor spread during public health crisis
12. Regulatory Whack-a-mole: A Rapid Scoping Review of Gambling Marketing Restrictions and their (in)Effectiveness
13. UniPolicy: Unified Objective-Specific Policies for Generative Search Advertising
14. MSRA-CCL: Multi-Source Reliability-Aware Aggregation and Cross-Domain Consistency Learning for Weakly Supervised Sentiment Classification
15. Time-Aware Diffusion based on Preference Disentanglement for Generative Recommendation
16. Reproducing Transparent and Scrutable Recommendations: Exploring Open-Weight Models via Natural-Language User Profiles
17. ViTOED: A Dataset for Target-Oriented Emotion Detection on Vietnamese Social Media Texts
18. From "Who Is This User?" to "What Does This Purchase Mean?": A Deployed Pipeline for Semantic User Profiling at Bank Scale
19. MARS: Modality-Aligned Retrieval for Sequence Augmented CTR Prediction
20. Learn Before You Judge: Progressive Knowledge-to-Decision Alignment for Explainable Hateful Meme Detection

Sub-Regions

• Economic Governance and Compliance — 308 papers
• Generative Recommendation Frameworks — 276 papers
• Jurisprudential Constitutional Governance — 193 papers
• Social Sentiment Analysis — 177 papers