:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Liu, Junyi
Format:	Preprint
Published:	2023
Subjects:	Information Retrieval
Online Access:	https://arxiv.org/abs/2310.20189
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Prompting-Based Representation Learning Method for Recommendation with Large Language Models
by: Chen, Junyi, et al.
Published: (2024)

Interest Clock: Time Perception in Real-Time Streaming Recommendation System
by: Zhu, Yongchun, et al.
Published: (2024)

RAGR: Review-Augmented Generative Recommendation
by: Zhang, Yingyi, et al.
Published: (2026)

Moment&Cross: Next-Generation Real-Time Cross-Domain CTR Prediction for Live-Streaming Recommendation at Kuaishou
by: Cao, Jiangxia, et al.
Published: (2024)

IntTravel: A Real-World Dataset and Generative Framework for Integrated Multi-Task Travel Recommendation
by: Yan, Huimin, et al.
Published: (2026)

Real-Time Personalization for LLM-based Recommendation with Customized In-Context Learning
by: Bao, Keqin, et al.
Published: (2024)

Item Level Exploration Traffic Allocation in Large-scale Recommendation Systems
by: Wang, Dong, et al.
Published: (2025)

Grocery to General Merchandise: A Cross-Pollination Recommender using LLMs and Real-Time Cart Context
by: Kekuda, Akshay, et al.
Published: (2025)

Generative Conversational Recommender System
by: Zhang, Sixiao, et al.
Published: (2026)

Linear-Time Graph Neural Networks for Scalable Recommendations
by: Zhang, Jiahao, et al.
Published: (2024)

Multi-Behavior Generative Recommendation
by: Liu, Zihan, et al.
Published: (2024)

Enhancing Time Awareness in Generative Recommendation
by: Lee, Sunkyung, et al.
Published: (2025)

Uncertainty-aware Generative Recommendation
by: Fan, Chenxiao, et al.
Published: (2026)

Rotate Both Ways: Time-and-Order RoPE for Generative Recommendation
by: Wei, Xiaokai, et al.
Published: (2025)

Large Language Model Simulator for Cold-Start Recommendation
by: Huang, Feiran, et al.
Published: (2024)

Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation
by: Wang, Hao, et al.
Published: (2025)

Harmonizing Generative Retrieval and Ranking in Chain-of-Recommendation
by: Liu, Yu, et al.
Published: (2026)

Recommendation Fairness in Social Networks Over Time
by: Cao, Meng, et al.
Published: (2024)

Uncertainty-Calibrated Recommendations for Low-Active Users
by: Zou, Bob Junyi, et al.
Published: (2026)

Coarse-to-fine Dynamic Uplift Modeling for Real-time Video Recommendation
by: Meng, Chang, et al.
Published: (2024)

ERASE -- A Real-World Aligned Benchmark for Unlearning in Recommender Systems
by: Lubitzsch, Pierre, et al.
Published: (2026)

HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
by: Chen, Junyi, et al.
Published: (2024)

The 2nd Workshop on Recommendation with Generative Models
by: Wang, Wenjie, et al.
Published: (2024)

Generative Recommendation: Towards Next-generation Recommender Paradigm
by: Wang, Wenjie, et al.
Published: (2023)

Generative News Recommendation
by: Gao, Shen, et al.
Published: (2024)

Real-time Indexing for Large-scale Recommendation by Streaming Vector Quantization Retriever
by: Bin, Xingyan, et al.
Published: (2025)

Large Memory Network for Recommendation
by: Lu, Hui, et al.
Published: (2025)

PROMISE: Process Reward Models Unlock Test-Time Scaling Laws in Generative Recommendations
by: Guo, Chengcheng, et al.
Published: (2026)

MMGRec: Multimodal Generative Recommendation with Transformer Model
by: Liu, Han, et al.
Published: (2024)

A Survey of Real-World Recommender Systems: Challenges, Constraints, and Industrial Perspectives
by: Zou, Kuan, et al.
Published: (2025)

Bi-Level Optimization for Generative Recommendation: Bridging Tokenization and Generation
by: Bai, Yimeng, et al.
Published: (2025)

Generating Diverse Synthetic Datasets for Evaluation of Real-life Recommender Systems
by: Malenšek, Miha, et al.
Published: (2024)

Search-Based Interaction For Conversation Recommendation via Generative Reward Model Based Simulated User
by: Wang, Xiaolei, et al.
Published: (2025)

Drift-Aware Continual Tokenization for Generative Recommendation
by: Feng, Yuebo, et al.
Published: (2026)

Generating Negative Samples for Multi-Modal Recommendation
by: Ji, Yanbiao, et al.
Published: (2025)

DADF: A Distribution-Aware Debiasing Framework for Watch-Time Regression in Recommender Systems
by: Yang, Yiqing, et al.
Published: (2026)

Multimodal Pretraining and Generation for Recommendation: A Tutorial
by: Zhu, Jieming, et al.
Published: (2024)

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks
by: Wang, Yejing, et al.
Published: (2025)

Time-Interval-Aware Disentangled Expert Modeling for Next-Basket Recommendation
by: Deng, Zhiying, et al.
Published: (2026)

Masked Diffusion Generative Recommendation
by: Mu, Lingyu, et al.
Published: (2026)