Copertina

On-Device Recommender Systems: A Comprehensive Survey

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Yin, Hongzhi, Qu, Liang, Chen, Tong, Yuan, Wei, Zheng, Ruiqi, Long, Jing, Xia, Xin, Shi, Yuhui, Zhang, Chengqi
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Information Retrieval
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation
di: Zheng, Ruiqi, et al.
Pubblicazione: (2024)

Poisoning Decentralized Collaborative Recommender System and Its Countermeasures
di: Zheng, Ruiqi, et al.
Pubblicazione: (2024)

DecKG: Decentralized Collaborative Learning with Knowledge Graph Enhancement for POI Recommendation
di: Zheng, Ruiqi, et al.
Pubblicazione: (2024)

Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation
di: Qu, Liang, et al.
Pubblicazione: (2024)

Sparser Training for On-Device Recommendation Systems
di: Qu, Yunke, et al.
Pubblicazione: (2024)

Automated Similarity Metric Generation for Recommendation
di: Qu, Liang, et al.
Pubblicazione: (2024)

Proxy Model-Guided Reinforcement Learning for Client Selection in Federated Recommendation
di: Qu, Liang, et al.
Pubblicazione: (2025)

SCaLRec: Semantic Calibration for LLM-enabled Cloud-Device Sequential Recommendation
di: Zheng, Ruiqi, et al.
Pubblicazione: (2026)

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

On-Device Large Language Models for Sequential Recommendation
di: Xia, Xin, et al.
Pubblicazione: (2026)

Data Watermarking for Sequential Recommender Systems
di: Zhang, Sixiao, et al.
Pubblicazione: (2024)

Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations
di: Long, Jing, et al.
Pubblicazione: (2024)

Harnessing Large Language Models for Group POI Recommendations
di: Long, Jing, et al.
Pubblicazione: (2024)

Budgeted Embedding Table For Recommender Systems
di: Qu, Yunke, et al.
Pubblicazione: (2023)

Continuous Input Embedding Size Search For Recommender Systems
di: Qu, Yunke, et al.
Pubblicazione: (2023)

Efficient Multimodal Streaming Recommendation via Expandable Side Mixture-of-Experts
di: Qu, Yunke, et al.
Pubblicazione: (2025)

Towards On-Device Personalization: Cloud-device Collaborative Data Augmentation for Efficient On-device Language Model
di: Zhong, Zhaofeng, et al.
Pubblicazione: (2025)

Federated Learning and Unlearning for Recommendation with Personalized Data Sharing
di: Qu, Liang, et al.
Pubblicazione: (2026)

ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems
di: Zhang, Yi, et al.
Pubblicazione: (2026)

Watermarking Recommender Systems
di: Zhang, Sixiao, et al.
Pubblicazione: (2024)

On Mitigating Data Sparsity in Conversational Recommender Systems
di: Zhang, Sixiao, et al.
Pubblicazione: (2025)

Robust Federated Contrastive Recommender System against Model Poisoning Attack
di: Yuan, Wei, et al.
Pubblicazione: (2024)

Scalable Dynamic Embedding Size Search for Streaming Recommendation
di: Qu, Yunke, et al.
Pubblicazione: (2024)

PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender System
di: Yuan, Wei, et al.
Pubblicazione: (2024)

Hide Your Model: A Parameter Transmission-free Federated Recommender System
di: Yuan, Wei, et al.
Pubblicazione: (2023)

Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation
di: Long, Jing, et al.
Pubblicazione: (2024)

Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion
di: Chen, Lijian, et al.
Pubblicazione: (2023)

Integrating Vision-Centric Text Understanding for Conversational Recommender Systems
di: Yuan, Wei, et al.
Pubblicazione: (2026)

Lightweight Embeddings with Graph Rewiring for Collaborative Filtering
di: Liang, Xurong, et al.
Pubblicazione: (2025)

A Survey on Sequential Recommendation
di: Pan, Liwei, et al.
Pubblicazione: (2024)

Challenging Low Homophily in Social Recommendation
di: Jiang, Wei, et al.
Pubblicazione: (2024)

Poisoning Attacks and Defenses in Recommender Systems: A Survey
di: Wang, Zongwei, et al.
Pubblicazione: (2024)

Multi-agents based User Values Mining for Recommendation
di: Chen, Lijian, et al.
Pubblicazione: (2025)

Poisoning Attacks against Recommender Systems: A Survey
di: Wang, Zongwei, et al.
Pubblicazione: (2024)

Towards Distribution Matching between Collaborative and Language Spaces for Generative Recommendation
di: Zhang, Yi, et al.
Pubblicazione: (2025)

FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services
di: Yuan, Wei, et al.
Pubblicazione: (2024)

ProEx: A Unified Framework Leveraging Large Language Model with Profile Extrapolation for Recommendation
di: Zhang, Yi, et al.
Pubblicazione: (2025)

Diversity-aware Dual-promotion Poisoning Attack on Sequential Recommendation
di: Zhao, Yuchuan, et al.
Pubblicazione: (2025)

Prompt-Unknown Promotion Attacks against LLM-based Sequential Recommender Systems
di: Zhao, Yuchuan, et al.
Pubblicazione: (2026)

LLM-based Bi-level Multi-interest Learning Framework for Sequential Recommendation
di: Qiao, Shutong, et al.
Pubblicazione: (2024)