Latest Research in Generative Recommendation Frameworks

Top Research Topics in Generative Recommendation Frameworks

• Information Retrieval — 147 papers
• Recommender Systems and Techniques — 44 papers
• Artificial Intelligence — 19 papers
• Machine Learning — 18 papers
• Computation and Language — 13 papers
• Advanced Graph Neural Networks — 5 papers
• Sentiment Analysis and Opinion Mining — 3 papers
• Computer Vision and Pattern Recognition — 2 papers
• Music and Audio Processing — 2 papers
• Social and Information Networks — 2 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. A Hybrid Recommendation Framework Leveraging User Community Detection and Latent Feature Extraction for Improved Personalized Recommendations
4. Entrepreneurial project recommendation by implicit user feature extraction and DNN-MF
5. SPAR: Enhancing Industrial-Scale Generative POI Recommendation via Real-World Spatial Perception
6. UniPolicy: Unified Objective-Specific Policies for Generative Search Advertising
7. Time-Aware Diffusion based on Preference Disentanglement for Generative Recommendation
8. Reproducing Transparent and Scrutable Recommendations: Exploring Open-Weight Models via Natural-Language User Profiles
9. From "Who Is This User?" to "What Does This Purchase Mean?": A Deployed Pipeline for Semantic User Profiling at Bank Scale
10. MARS: Modality-Aligned Retrieval for Sequence Augmented CTR Prediction
11. Grounded Product Understanding in Livestream Videos
12. On developing diverse multiaspect hotel recommender systems based on TripAdvisor online reviews
13. One-Step Retrieval Framework for Real-Time Sponsored Search Ads Using Hierarchical Text Representations
14. An Industrial-Scale Sequential Recommender for LinkedIn Feed Ranking
15. LIGE-GR: A Smooth Leap from Ranking to Generative Recommendation in the LLM Era
16. From Overlooked to Explored: Recovering Item Relations via Mixture of Perspectives for Sequential Recommendation
17. BanglaShop-CRS: A User-Centric Bangla Dataset for Conversational Recommendation
18. Re2A: Situated Conversational Recommendation via Rubric-based Preference Reasoning and Alignment
19. Unleash LLMs Potential for Sequential Recommendation by Coordinating Dual Dynamic Index Mechanism (2 citations)
20. Disentangling Long-Term Memory via Latent Neuro-Symbolic Reasoning

Sub-Regions

• Information Retrieval — 273 papers
• Chronic Obstructive Pulmonary Disease (COPD) Research — 1 papers
• Information Retrieval — 1 papers