:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yang, Wei, Zhong, Rui, Chen, Yiqun, Li, Shixuan, Ping, Heng, Lu, Chi, Jiang, Peng
Format:	Preprint
Published:	2026
Subjects:	Information Retrieval
Online Access:	https://arxiv.org/abs/2601.22498
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation
by: Xia, Yu, et al.
Published: (2025)

R4ec: A Reasoning, Reflection, and Refinement Framework for Recommendation Systems
by: Gu, Hao, et al.
Published: (2025)

Adaptive Fair Representation Learning for Personalized Fairness in Recommendations via Information Alignment
by: Zhu, Xinyu, et al.
Published: (2024)

Multimodal Representation-disentangled Information Bottleneck for Multimodal Recommendation
by: Wang, Hui, et al.
Published: (2025)

Transparent and Controllable Recommendation Filtering via Multimodal Multi-Agent Collaboration
by: Zhang, Chi, et al.
Published: (2026)

Frequency-aware Adaptive Contrastive Learning for Sequential Recommendation
by: Wang, Zhikai, et al.
Published: (2026)

Matryoshka Representation Learning for Recommendation
by: Lai, Riwei, et al.
Published: (2024)

Attribute-driven Disentangled Representation Learning for Multimodal Recommendation
by: Li, Zhenyang, et al.
Published: (2023)

Causality-Inspired Fair Representation Learning for Multimodal Recommendation
by: Chen, Weixin, et al.
Published: (2023)

GRACE: Generative Representation Learning via Contrastive Policy Optimization
by: Sun, Jiashuo, et al.
Published: (2025)

Time-Aware Adaptive Side Information Fusion for Sequential Recommendation
by: Luo, Jie, et al.
Published: (2025)

Text-Guided Visual Representation Learning for Robust Multimodal E-Commerce Recommendation
by: Guo, Yufei, et al.
Published: (2026)

Hierarchical Tree Search-based User Lifelong Behavior Modeling on Large Language Model
by: Xia, Yu, et al.
Published: (2025)

Enhancing Multimodal Recommendations with Vision-Language Models and Information-Aware Fusion
by: Kieu, Hai-Dang, et al.
Published: (2025)

TimeMM: Time-as-Operator Spectral Filtering for Dynamic Multimodal Recommendation
by: Yang, Wei, et al.
Published: (2026)

FARM: Frequency-Aware Model for Cross-Domain Live-Streaming Recommendation
by: Li, Xiaodong, et al.
Published: (2025)

Wavelet Enhanced Adaptive Frequency Filter for Sequential Recommendation
by: Xu, Huayang, et al.
Published: (2025)

Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal Recommendation
by: Wang, Yueqi, et al.
Published: (2024)

Learning ID-free Item Representation with Token Crossing for Multimodal Recommendation
by: Zhang, Kangning, et al.
Published: (2024)

Serendipitous Recommendation with Multimodal LLM
by: Wang, Haoting, et al.
Published: (2025)

DREAM: A Dual Representation Learning Model for Multimodal Recommendation
by: Zhang, Kangning, et al.
Published: (2024)

Self-Supervised Representation Learning with ID-Content Modality Alignment for Sequential Recommendation
by: Zhou, Donglin, et al.
Published: (2025)

MUFFIN: Mixture of User-Adaptive Frequency Filtering for Sequential Recommendation
by: Baek, Ilwoong, et al.
Published: (2025)

Community-Aware Social Community Recommendation
by: Jiang, Runhao, et al.
Published: (2025)

SA-CAISR: Stage-Adaptive and Conflict-Aware Incremental Sequential Recommendation
by: Song, Xiaomeng, et al.
Published: (2026)

Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information
by: Zhao, Yurou, et al.
Published: (2024)

AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems
by: Xue, Zhenghai, et al.
Published: (2023)

Multimodal Large Language Models with Adaptive Preference Optimization for Sequential Recommendation
by: Wang, Yu, et al.
Published: (2025)

LiveForesighter: Generating Future Information for Live-Streaming Recommendations at Kuaishou
by: Lu, Yucheng, et al.
Published: (2025)

CRENER: A Character Relation Enhanced Chinese NER Model
by: Qiao, Yaqiong, et al.
Published: (2024)

STAIR: Manipulating Collaborative and Multimodal Information for E-Commerce Recommendation
by: Xu, Cong, et al.
Published: (2024)

Deep Adaptive Interest Network: Personalized Recommendation with Context-Aware Learning
by: Huang, Shuaishuai, et al.
Published: (2024)

Learning Item Representations Directly from Multimodal Features for Effective Recommendation
by: Zhou, Xin, et al.
Published: (2025)

A Survey on Data-Centric Recommender Systems
by: Lai, Riwei, et al.
Published: (2024)

SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation
by: Zhang, Chi, et al.
Published: (2024)

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

Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation
by: Li, Qingyao, et al.
Published: (2024)

Adaptive Utilization of Cross-scenario Information for Multi-scenario Recommendation
by: Shu, Xiufeng, et al.
Published: (2024)

Multi-Type Context-Aware Conversational Recommender Systems via Mixture-of-Experts
by: Zou, Jie, et al.
Published: (2025)