Copertina

Simple and Behavior-Driven Augmentation for Recommendation with Rich Collaborative Signals

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Choi, Doyun, Lee, Cheonwoo, Yoo, Jaemin
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Information Retrieval
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

PULSE: Socially-Aware User Representation Modeling Toward Parameter-Efficient Graph Collaborative Filtering
di: Choi, Doyun, et al.
Pubblicazione: (2026)

ItemRAG: Item-Based Retrieval-Augmented Generation for LLM-Based Recommendation
di: Kim, Sunwoo, et al.
Pubblicazione: (2025)

Harmonizing Large Language Models with Collaborative Behavioral Signals for Conversational Recommendation
di: Li, Guanrong, et al.
Pubblicazione: (2025)

Multimodal Generative Recommendation for Fusing Semantic and Collaborative Signals
di: Vandenhirtz, Moritz, et al.
Pubblicazione: (2026)

Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness
di: Cheng, Mingyue, et al.
Pubblicazione: (2024)

Criteria-Aware Graph Filtering: Extremely Fast Yet Accurate Multi-Criteria Recommendation
di: Park, Jin-Duk, et al.
Pubblicazione: (2025)

Repeated Padding+: Simple yet Effective Data Augmentation Plugin for Sequential Recommendation
di: Dang, Yizhou, et al.
Pubblicazione: (2024)

EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration
di: Wang, Ye, et al.
Pubblicazione: (2024)

Denoised Recommendation Model with Collaborative Signal Decoupling
di: Li, Zefeng, et al.
Pubblicazione: (2025)

Continual Collaborative Distillation for Recommender System
di: Lee, Gyuseok, et al.
Pubblicazione: (2024)

Collaborative Diffusion Model for Recommender System
di: Lee, Gyuseok, et al.
Pubblicazione: (2025)

Exploiting Fine-Grained Skip Behaviors for Micro-Video Recommendation
di: Lee, Sanghyuck, et al.
Pubblicazione: (2025)

Turning Semantics into Topology: LLM-Driven Attribute Augmentation for Collaborative Filtering
di: Meng, Junjie, et al.
Pubblicazione: (2026)

SVD-AE: Simple Autoencoders for Collaborative Filtering
di: Hong, Seoyoung, et al.
Pubblicazione: (2024)

BLADE: A Behavior-Level Data Augmentation Framework with Dual Fusion Modeling for Multi-Behavior Sequential Recommendation
di: Li, Yupeng, et al.
Pubblicazione: (2025)

LLMs as Better Recommenders with Natural Language Collaborative Signals: A Self-Assessing Retrieval Approach
di: Xin, Haoran, et al.
Pubblicazione: (2025)

Rethinking Contrastive Learning for Graph Collaborative Filtering: Limitations and a Simple Remedy
di: Lee, Geon, et al.
Pubblicazione: (2026)

MemRec: Collaborative Memory-Augmented Agentic Recommender System
di: Chen, Weixin, et al.
Pubblicazione: (2026)

Towards Unified and Adaptive Cross-Domain Collaborative Filtering via Graph Signal Processing
di: Lee, Jeongeun, et al.
Pubblicazione: (2024)

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

Linear Item-Item Model with Neural Knowledge for Session-based Recommendation
di: Choi, Minjin, et al.
Pubblicazione: (2025)

Bridging Conversational and Collaborative Signals for Conversational Recommendation
di: Rabiah, Ahmad Bin, et al.
Pubblicazione: (2024)

Capturing User Interests from Data Streams for Continual Sequential Recommendation
di: Lee, Gyuseok, et al.
Pubblicazione: (2025)

Harnessing Large Language Models for Text-Rich Sequential Recommendation
di: Zheng, Zhi, et al.
Pubblicazione: (2024)

Collaborative Semantic Alignment in Recommendation Systems
di: Wang, Chen, et al.
Pubblicazione: (2023)

Multi-Behavior Generative Recommendation
di: Liu, Zihan, et al.
Pubblicazione: (2024)

Stealthy LLM-Driven Data Poisoning Attacks Against Embedding-Based Retrieval-Augmented Recommender Systems
di: Nazary, Fatemeh, et al.
Pubblicazione: (2025)

Multi-intent-aware Session-based Recommendation
di: Choi, Minjin, et al.
Pubblicazione: (2024)

MARS: Matching Attribute-aware Representations for Text-based Sequential Recommendation
di: Kim, Hyunsoo, et al.
Pubblicazione: (2024)

Behavior Pattern Mining-based Multi-Behavior Recommendation
di: Li, Haojie, et al.
Pubblicazione: (2024)

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

Consensus-Driven Group Recommendation on Sparse Explicit Feedback: A Collaborative Filtering and Choquet-Borda Aggregation Framework
di: Van, Anh Nguyen, et al.
Pubblicazione: (2026)

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

Adaptive Diffusion-based Augmentation for Recommendation
di: Li, Na, et al.
Pubblicazione: (2026)

Device-Cloud Collaborative Correction for On-Device Recommendation
di: Zhan, Tianyu, et al.
Pubblicazione: (2025)

CEMG: Collaborative-Enhanced Multimodal Generative Recommendation
di: Lin, Yuzhen, et al.
Pubblicazione: (2025)

Cloud-Device Collaborative Agents for Sequential Recommendation
di: Long, Jing, et al.
Pubblicazione: (2025)

Privacy-Preserving Sequential Recommendation with Collaborative Confusion
di: Wang, Wei, et al.
Pubblicazione: (2024)

Content-Based Collaborative Generation for Recommender Systems
di: Wang, Yidan, et al.
Pubblicazione: (2024)

Collaborative Large Language Model for Recommender Systems
di: Zhu, Yaochen, et al.
Pubblicazione: (2023)