Cover Image

Iterative Semantic Reasoning from Individual to Group Interests for Generative Recommendation with LLMs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhu, Xiaofei, Chen, Jinfei, Yuan, Feiyang, Yang, Zhou
Format:	Preprint
Published:	2026
Subjects:	Information Retrieval Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

GemiRec: Interest Quantization and Generation for Multi-Interest Recommendation
by: Wu, Zhibo, et al.
Published: (2025)

LLMs for User Interest Exploration in Large-scale Recommendation Systems
by: Wang, Jianling, et al.
Published: (2024)

R3-REC: Reasoning-Driven Recommendation via Retrieval-Augmented LLMs over Multi-Granular Interest Signals
by: Miao, Yuchen, et al.
Published: (2026)

Reasoning over Semantic IDs Enhances Generative Recommendation
by: He, Yingzhi, et al.
Published: (2026)

Rethinking Generative Recommender Tokenizer: Recsys-Native Encoding and Semantic Quantization Beyond LLMs
by: Liang, Yu, et al.
Published: (2026)

Long-Term Interest Clock: Fine-Grained Time Perception in Streaming Recommendation System
by: Zhu, Yongchun, et al.
Published: (2025)

DisenReason: Behavior Disentanglement and Latent Reasoning for Shared-Account Sequential Recommendation
by: Cheng, Jiawei, et al.
Published: (2026)

Efficient Sequential Recommendation for Long Term User Interest Via Personalization
by: Zhang, Qiang, et al.
Published: (2026)

Semantic-Enhanced Relational Metric Learning for Recommender Systems
by: Li, Mingming, et al.
Published: (2024)

Point of Interest Recommendation: Pitfalls and Viable Solutions
by: Bellogín, Alejandro, et al.
Published: (2025)

EXIT: An EXplicit Interest Transfer Framework for Cross-Domain Recommendation
by: Huang, Lei, et al.
Published: (2024)

Dynamic Forgetting and Spatio-Temporal Periodic Interest Modeling for Local-Life Service Recommendation
by: Hu, Zhaoyu, et al.
Published: (2025)

When Text-as-Vision Meets Semantic IDs in Generative Recommendation: An Empirical Study
by: Qiao, Shutong, et al.
Published: (2026)

InBox: Recommendation with Knowledge Graph using Interest Box Embedding
by: Xu, Zezhong, et al.
Published: (2024)

ADS-POI: Agentic Spatiotemporal State Decomposition for Next Point-of-Interest Recommendation
by: Yu, Zhenyu, et al.
Published: (2026)

Denoising Long- and Short-term Interests for Sequential Recommendation
by: Zhang, Xinyu, et al.
Published: (2024)

AlignGroup: Learning and Aligning Group Consensus with Member Preferences for Group Recommendation
by: Xu, Jinfeng, et al.
Published: (2024)

JobFormer: Skill-Aware Job Recommendation with Semantic-Enhanced Transformer
by: Guan, Zhihao, et al.
Published: (2024)

Enhance Large Language Models as Recommendation Systems with Collaborative Filtering
by: Yang, Zhisheng, et al.
Published: (2025)

Agent4POI: Agentic Context-Conditioned Affordance Reasoning for Multimodal Point-of-Interest Recommendation
by: Wang, Jinze, et al.
Published: (2026)

Deep Group Interest Modeling of Full Lifelong User Behaviors for CTR Prediction
by: Liu, Qi, et al.
Published: (2023)

ChoirRec: Semantic User Grouping via LLMs for Conversion Rate Prediction of Low-Activity Users
by: Zhai, Dakai, et al.
Published: (2025)

Analysis and Design of a Personalized Recommendation System Based on a Dynamic User Interest Model
by: Mao, Chunyan, et al.
Published: (2024)

Rethinking Group Recommender Systems in the Era of Generative AI: From One-Shot Recommendations to Agentic Group Decision Support
by: Jannach, Dietmar, et al.
Published: (2025)

Think before Recommendation: Autonomous Reasoning-enhanced Recommender
by: Kong, Xiaoyu, et al.
Published: (2025)

RASTP: Representation-Aware Semantic Token Pruning for Generative Recommendation with Semantic Identifiers
by: Zhan, Tianyu, et al.
Published: (2025)

HiD-VAE: Interpretable Generative Recommendation via Hierarchical and Disentangled Semantic IDs
by: Fang, Dengzhao, et al.
Published: (2025)

Hierarchical Intent-guided Optimization with Pluggable LLM-Driven Semantics for Session-based Recommendation
by: Chen, Jinpeng, et al.
Published: (2025)

GR-LLMs: Recent Advances in Generative Recommendation Based on Large Language Models
by: Yang, Zhen, et al.
Published: (2025)

CoNRec: Context-Discerning Negative Recommendation with LLMs
by: Chen, Xinda, et al.
Published: (2026)

Structured Spectral Reasoning for Frequency-Adaptive Multimodal Recommendation
by: Yang, Wei, et al.
Published: (2025)

Where to Move Next: Zero-shot Generalization of LLMs for Next POI Recommendation
by: Feng, Shanshan, et al.
Published: (2024)

Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs
by: Huang, Jiani, et al.
Published: (2025)

LLMs Need Encoders for Semantic IDs Too
by: Chen, Xiangyi, et al.
Published: (2026)

From Individual to Group: Developing a Context-Aware Multi-Criteria Group Recommender System
by: Le, Ngoc Luyen, et al.
Published: (2025)

Large Language Models for Next Point-of-Interest Recommendation
by: Li, Peibo, et al.
Published: (2024)

Reason-to-Recommend: Using Interaction-of-Thought Reasoning to Enhance LLM Recommendation
by: Zhao, Keyu, et al.
Published: (2025)

Dual-Phase Playtime-guided Recommendation: Interest Intensity Exploration and Multimodal Random Walks
by: Zhang, Jingmao, et al.
Published: (2025)

EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration
by: Hong, Minjie, et al.
Published: (2025)

Alleviating User-Sensitive bias with Fair Generative Sequential Recommendation Model
by: Liu, Yang, et al.
Published: (2025)