AlphaFree: Recommendation Free from Users, IDs, and GNNs
Fuente:
arXiv
Saved in:
| Main Authors: | Jeon, Minseo, Jung, Junwoo, Gwak, Daewon, Jung, Jinhong |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Personalized Ranking on Cascading Behavior Graphs for Accurate Multi-Behavior Recommendation
by: Ko, Geonwoo, et al.
Published: (2025)
by: Ko, Geonwoo, et al.
Published: (2025)
Multi-Behavior Recommender Systems: A Survey
by: Kim, Kyungho, et al.
Published: (2025)
by: Kim, Kyungho, et al.
Published: (2025)
Reasoning over Semantic IDs Enhances Generative Recommendation
by: He, Yingzhi, et al.
Published: (2026)
by: He, Yingzhi, et al.
Published: (2026)
The Best of the Two Worlds: Harmonizing Semantic and Hash IDs for Sequential Recommendation
by: Liu, Ziwei, et al.
Published: (2025)
by: Liu, Ziwei, et al.
Published: (2025)
When Text-as-Vision Meets Semantic IDs in Generative Recommendation: An Empirical Study
by: Qiao, Shutong, et al.
Published: (2026)
by: Qiao, Shutong, et al.
Published: (2026)
HiD-VAE: Interpretable Generative Recommendation via Hierarchical and Disentangled Semantic IDs
by: Fang, Dengzhao, et al.
Published: (2025)
by: Fang, Dengzhao, et al.
Published: (2025)
Empowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs
by: Wang, Yuhao, et al.
Published: (2025)
by: Wang, Yuhao, et al.
Published: (2025)
Performance Comparison of Session-based Recommendation Algorithms based on GNNs
by: Shehzad, Faisal, et al.
Published: (2023)
by: Shehzad, Faisal, et al.
Published: (2023)
LLMs Need Encoders for Semantic IDs Too
by: Chen, Xiangyi, et al.
Published: (2026)
by: Chen, Xiangyi, et al.
Published: (2026)
Sequential Recommendation on Temporal Proximities with Contrastive Learning and Self-Attention
by: Jung, Hansol, et al.
Published: (2024)
by: Jung, Hansol, et al.
Published: (2024)
Interplay: Training Independent Simulators for Reference-Free Conversational Recommendation
by: Ramos, Jerome, et al.
Published: (2026)
by: Ramos, Jerome, et al.
Published: (2026)
Counterfactual Reciprocal Recommender Systems for User-to-User Matching
by: Kawamura, Kazuki, et al.
Published: (2025)
by: Kawamura, Kazuki, et al.
Published: (2025)
User-centric Music Recommendations
by: Castillo, Jaime Ramirez, et al.
Published: (2025)
by: Castillo, Jaime Ramirez, et al.
Published: (2025)
GraphRAG for Engineering Diagrams: ChatP&ID Enables LLM Interaction with P&IDs
by: Alimin, Achmad Anggawirya, et al.
Published: (2026)
by: Alimin, Achmad Anggawirya, et al.
Published: (2026)
Efficient Generative Retrieval for E-commerce Search with Semantic Cluster IDs and Expert-Guided RL
by: Zhu, Jianbo, et al.
Published: (2026)
by: Zhu, Jianbo, et al.
Published: (2026)
Beyond Interactions: Node-Level Graph Generation for Knowledge-Free Augmentation in Recommender Systems
by: Wang, Zhaoyan, et al.
Published: (2025)
by: Wang, Zhaoyan, et al.
Published: (2025)
Retrieval and Distill: A Temporal Data Shift-Free Paradigm for Online Recommendation System
by: Zheng, Lei, et al.
Published: (2024)
by: Zheng, Lei, et al.
Published: (2024)
Envy-Free but Still Unfair: Envy-Freeness Up To One Item (EF-1) in Personalized Recommendation
by: Aird, Amanda, et al.
Published: (2025)
by: Aird, Amanda, et al.
Published: (2025)
LLM-Powered User Simulator for Recommender System
by: Zhang, Zijian, et al.
Published: (2024)
by: Zhang, Zijian, et al.
Published: (2024)
Effectiveness of LLMs in Temporal User Profiling for Recommendation
by: Sabouri, Milad, et al.
Published: (2025)
by: Sabouri, Milad, et al.
Published: (2025)
Generating Long Semantic IDs in Parallel for Recommendation
by: Hou, Yupeng, et al.
Published: (2025)
by: Hou, Yupeng, et al.
Published: (2025)
Topic-Aware Knowledge Graph with Large Language Models for Interoperability in Recommender Systems
by: Jeon, Minhye, et al.
Published: (2024)
by: Jeon, Minhye, et al.
Published: (2024)
Give Users the Wheel: Towards Promptable Recommendation Paradigm
by: Lyu, Fuyuan, et al.
Published: (2026)
by: Lyu, Fuyuan, et al.
Published: (2026)
Using LLMs to Capture Users' Temporal Context for Recommendation
by: Sabouri, Milad, et al.
Published: (2025)
by: Sabouri, Milad, et al.
Published: (2025)
GPRec: Bi-level User Modeling for Deep Recommenders
by: Wang, Yejing, et al.
Published: (2024)
by: Wang, Yejing, et al.
Published: (2024)
Calibration-Disentangled Learning and Relevance-Prioritized Reranking for Calibrated Sequential Recommendation
by: Jeon, Hyunsik, et al.
Published: (2024)
by: Jeon, Hyunsik, et al.
Published: (2024)
UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User Experiences in Recommender Systems
by: Zhang, Changshuo, et al.
Published: (2024)
by: Zhang, Changshuo, et al.
Published: (2024)
Agentic Feedback Loop Modeling Improves Recommendation and User Simulation
by: Cai, Shihao, et al.
Published: (2024)
by: Cai, Shihao, et al.
Published: (2024)
LLMs for User Interest Exploration in Large-scale Recommendation Systems
by: Wang, Jianling, et al.
Published: (2024)
by: Wang, Jianling, et al.
Published: (2024)
HGCL: Hierarchical Graph Contrastive Learning for User-Item Recommendation
by: Xue, Jiawei, et al.
Published: (2025)
by: Xue, Jiawei, et al.
Published: (2025)
LettinGo: Explore User Profile Generation for Recommendation System
by: Wang, Lu, et al.
Published: (2025)
by: Wang, Lu, et al.
Published: (2025)
Maximizing User Experience with LLMOps-Driven Personalized Recommendation Systems
by: Shi, Chenxi, et al.
Published: (2024)
by: Shi, Chenxi, et al.
Published: (2024)
Cold-start Bundle Recommendation via Popularity-based Coalescence and Curriculum Heating
by: Jeon, Hyunsik, et al.
Published: (2023)
by: Jeon, Hyunsik, et al.
Published: (2023)
Tuning-Free LLM Can Build A Strong Recommender Under Sparse Connectivity And Knowledge Gap Via Extracting Intent
by: Zheng, Wenqing, et al.
Published: (2025)
by: Zheng, Wenqing, et al.
Published: (2025)
Efficient Sequential Recommendation for Long Term User Interest Via Personalization
by: Zhang, Qiang, et al.
Published: (2026)
by: Zhang, Qiang, et al.
Published: (2026)
Decision-aware User Simulation Agent for Evaluating Conversational Recommender Systems
by: Li, Yuan-Chi, et al.
Published: (2026)
by: Li, Yuan-Chi, et al.
Published: (2026)
Alleviating User-Sensitive bias with Fair Generative Sequential Recommendation Model
by: Liu, Yang, et al.
Published: (2025)
by: Liu, Yang, et al.
Published: (2025)
Leveraging Multimodal Data and Side Users for Diffusion Cross-Domain Recommendation
by: Zhang, Fan, et al.
Published: (2025)
by: Zhang, Fan, et al.
Published: (2025)
GUME: Graphs and User Modalities Enhancement for Long-Tail Multimodal Recommendation
by: Lin, Guojiao, et al.
Published: (2024)
by: Lin, Guojiao, et al.
Published: (2024)
Personalized News Recommendation with Multi-granularity Candidate-aware User Modeling
by: Li, Qiang, et al.
Published: (2025)
by: Li, Qiang, et al.
Published: (2025)
Similar Items
-
Personalized Ranking on Cascading Behavior Graphs for Accurate Multi-Behavior Recommendation
by: Ko, Geonwoo, et al.
Published: (2025) -
Multi-Behavior Recommender Systems: A Survey
by: Kim, Kyungho, et al.
Published: (2025) -
Reasoning over Semantic IDs Enhances Generative Recommendation
by: He, Yingzhi, et al.
Published: (2026) -
The Best of the Two Worlds: Harmonizing Semantic and Hash IDs for Sequential Recommendation
by: Liu, Ziwei, et al.
Published: (2025) -
When Text-as-Vision Meets Semantic IDs in Generative Recommendation: An Empirical Study
by: Qiao, Shutong, et al.
Published: (2026)