:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Yinghui, Miao, Hao, Shen, Guojiang, Zhao, Yan, Kong, Xiangjie, Lee, Ivan
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval
Online Access:	https://arxiv.org/abs/2506.01705
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Analyzing and Mitigating Repetitions in Trip Recommendation
by: Shu, Wenzheng, et al.
Published: (2025)

Enhancing Tourism Recommender Systems for Sustainable City Trips Using Retrieval-Augmented Generation
by: Banerjee, Ashmi, et al.
Published: (2024)

CADRL: Category-aware Dual-agent Reinforcement Learning for Explainable Recommendations over Knowledge Graphs
by: Zheng, Shangfei, et al.
Published: (2024)

Modeling Sustainable City Trips: Integrating CO2e Emissions, Popularity, and Seasonality into Tourism Recommender Systems
by: Banerjee, Ashmi, et al.
Published: (2024)

Cross-Domain Causal Preference Learning for Out-of-Distribution Recommendation
by: Li, Zhuhang, et al.
Published: (2024)

Dual Test-time Training for Out-of-distribution Recommender System
by: Yang, Xihong, et al.
Published: (2024)

Planning Agents on an Ego-Trip: Leveraging Hybrid Ego-Graph Ensembles for Improved Tool Retrieval in Enterprise Task Planning
by: Bansal, Sahil, et al.
Published: (2025)

Improving LLMs for Recommendation with Out-Of-Vocabulary Tokens
by: Huang, Ting-Ji, et al.
Published: (2024)

Causal-Invariant Cross-Domain Out-of-Distribution Recommendation
by: Zhu, Jiajie, et al.
Published: (2025)

Improving Out-of-Vocabulary Handling in Recommendation Systems
by: Shiao, William, et al.
Published: (2024)

User Invariant Preference Learning for Multi-Behavior Recommendation
by: Yan, Mingshi, et al.
Published: (2025)

Behavior-Contextualized Item Preference Modeling for Multi-Behavior Recommendation
by: Yan, Mingshi, et al.
Published: (2024)

Reinforced Preference Optimization for Recommendation
by: Tan, Junfei, et al.
Published: (2025)

Dual-space Hierarchical Learning for Goal-guided Conversational Recommendation
by: Chen, Can, et al.
Published: (2023)

From Time and Place to Preference: LLM-Driven Geo-Temporal Context in Recommendations
by: Kim, Yejin, et al.
Published: (2025)

Coherence-guided Preference Disentanglement for Cross-domain Recommendations
by: Xiang, Zongyi, et al.
Published: (2024)

Dual Preference Distribution Learning for Item Recommendation
by: Dong, Xue, et al.
Published: (2022)

Empowering Retrieval-based Conversational Recommendation with Contrasting User Preferences
by: Kook, Heejin, et al.
Published: (2025)

LLM-Driven Dual-Level Multi-Interest Modeling for Recommendation
by: Wang, Ziyan, et al.
Published: (2025)

Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation
by: Huang, Chengkai, et al.
Published: (2024)

Reinforced Preference Optimization for Reasoning-Augmented Recommendations
by: Gao, Jingtong, et al.
Published: (2026)

Preference Diffusion for Recommendation
by: Liu, Shuo, et al.
Published: (2024)

FRONTIER-RevRec: A Large-scale Dataset for Reviewer Recommendation
by: Peng, Qiyao, et al.
Published: (2025)

Recurrent Preference Memory for Efficient Long-Sequence Generative Recommendation
by: Chen, Yixiao, et al.
Published: (2026)

LISRec: Modeling User Preferences with Learned Item Shortcuts for Sequential Recommendation
by: Xin, Haidong, et al.
Published: (2025)

DIFF: Dual Side-Information Filtering and Fusion for Sequential Recommendation
by: Kim, Hye-young, et al.
Published: (2025)

Proactive Recommendation with Iterative Preference Guidance
by: Bi, Shuxian, et al.
Published: (2024)

Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation
by: Hu, Guoqing, et al.
Published: (2025)

Multi-Domain Recommendation to Attract Users via Domain Preference Modeling
by: Ju, Hyunjun, et al.
Published: (2024)

Federated Consistency- and Complementarity-aware Consensus-enhanced Recommendation
by: Mi, Yunqi, et al.
Published: (2025)

Multimodal Recommendation via Self-Corrective Preference Alignmen
by: Guan, Yalong, et al.
Published: (2025)

USD: A User-Intent-Driven Sampling and Dual-Debiasing Framework for Large-Scale Homepage Recommendations
by: Zheng, Jiaqi, et al.
Published: (2025)

Preference Trajectory Modeling via Flow Matching for Sequential Recommendation
by: Li, Li, et al.
Published: (2025)

Tree of Preferences for Diversified Recommendation
by: Yuan, Hanyang, et al.
Published: (2025)

Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation
by: Li, Xiaodong, et al.
Published: (2025)

Vague Preference Policy Learning for Conversational Recommendation
by: Zhang, Gangyi, et al.
Published: (2023)

Preference-Consistent Knowledge Distillation for Recommender System
by: Zhu, Zhangchi, et al.
Published: (2023)

Causal Direct Preference Optimization for Distributionally Robust Generative Recommendation
by: Zhao, Chu, et al.
Published: (2026)

Simple and Behavior-Driven Augmentation for Recommendation with Rich Collaborative Signals
by: Choi, Doyun, et al.
Published: (2025)

Large Language Model Enhanced Graph Invariant Contrastive Learning for Out-of-Distribution Recommendation
by: Liang, Jiahao, et al.
Published: (2025)