Cover Image

Privacy-Preserving Cross-Domain Sequential Recommendation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lin, Zhaohao, Pan, Weike, Ming, Zhong
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Survey on Cross-Domain Sequential Recommendation
by: Chen, Shu, et al.
Published: (2024)

Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation
by: Wu, Guowei, et al.
Published: (2024)

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

A Survey on Sequential Recommendation
by: Pan, Liwei, et al.
Published: (2024)

A Survey on Multi-Behavior Sequential Recommendation
by: Chen, Xiaoqing, et al.
Published: (2023)

Sample Enrichment via Temporary Operations on Subsequences for Sequential Recommendation
by: Chen, Shu, et al.
Published: (2024)

BMLP: Behavior-aware MLP for Heterogeneous Sequential Recommendation
by: Li, Weixin, et al.
Published: (2024)

Towards Multi-Behavior Multi-Task Recommendation via Behavior-informed Graph Embedding Learning
by: Lai, Wenhao, et al.
Published: (2026)

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

Leave No One Behind: Fairness-Aware Cross-Domain Recommender Systems for Non-Overlapping Users
by: Chen, Weixin, et al.
Published: (2025)

The Double-Edged Sword of Knowledge Transfer: Diagnosing and Curing Fairness Pathologies in Cross-Domain Recommendation
by: Zhao, Yuhan, et al.
Published: (2026)

Federated User Preference Modeling for Privacy-Preserving Cross-Domain Recommendation
by: Wang, Li, et al.
Published: (2024)

Modeling Domain and Feedback Transitions for Cross-Domain Sequential Recommendation
by: Zhang, Changshuo, et al.
Published: (2024)

Cross-Domain Sequential Recommendation via Neural Process
by: Li, Haipeng, et al.
Published: (2024)

Bridging Behavior and Semantics for Time-aware Cross-Domain Sequential Recommendation
by: Qin, Zhida, et al.
Published: (2026)

Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions
by: Xu, Wujiang, et al.
Published: (2023)

Federated Mixture-of-Expert for Non-Overlapped Cross-Domain Sequential Recommendation
by: Liu, Yu, et al.
Published: (2025)

Context-Aware Disentanglement for Cross-Domain Sequential Recommendation: A Causal View
by: Wang, Xingzi, et al.
Published: (2026)

ABXI: Invariant Interest Adaptation for Task-Guided Cross-Domain Sequential Recommendation
by: Bian, Qingtian, et al.
Published: (2025)

Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation
by: Liu, Qidong, et al.
Published: (2025)

WeaveRec: An LLM-Based Cross-Domain Sequential Recommendation Framework with Model Merging
by: Hou, Min, et al.
Published: (2025)

i$^2$VAE: Interest Information Augmentation with Variational Regularizers for Cross-Domain Sequential Recommendation
by: Ning, Xuying, et al.
Published: (2024)

Behavior-Aware Dual-Channel Preference Learning for Heterogeneous Sequential Recommendation
by: Xiao, Jing, et al.
Published: (2026)

Learning Partially Aligned Item Representation for Cross-Domain Sequential Recommendation
by: Yin, Mingjia, et al.
Published: (2024)

A Practice-Friendly LLM-Enhanced Paradigm with Preference Parsing for Sequential Recommendation
by: Liu, Dugang, et al.
Published: (2024)

Adaptive Domain Scaling for Personalized Sequential Modeling in Recommenders
by: Chai, Zheng, et al.
Published: (2025)

Cross Domain LifeLong Sequential Modeling for Online Click-Through Rate Prediction
by: Hou, Ruijie, et al.
Published: (2023)

Crocodile: Cross Experts Covariance for Disentangled Learning in Multi-Domain Recommendation
by: Lin, Zhutian, et al.
Published: (2024)

Gaussian Mixture Flow Matching with Domain Alignment for Multi-Domain Sequential Recommendation
by: Ye, Xiaoxin, et al.
Published: (2025)

Federated User Behavior Modeling for Privacy-Preserving LLM Recommendation
by: Guo, Lei, et al.
Published: (2026)

Efficient Large-Scale Cross-Domain Sequential Recommendation with Dynamic State Representations
by: Loureiro, Manuel V., et al.
Published: (2025)

MergeRec: Model Merging for Data-Isolated Cross-Domain Sequential Recommendation
by: Kim, Hyunsoo, et al.
Published: (2026)

SemaCDR: LLM-Powered Transferable Semantics for Cross-Domain Sequential Recommendation
by: Zhang, Chunxu, et al.
Published: (2026)

FedPCL-CDR: A Federated Prototype-based Contrastive Learning Framework for Privacy-Preserving Cross-domain Recommendation
by: Wang, Li, et al.
Published: (2024)

FedCIA: Federated Collaborative Information Aggregation for Privacy-Preserving Recommendation
by: Han, Mingzhe, et al.
Published: (2025)

Towards Open-world Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach
by: Xu, Wujiang, et al.
Published: (2023)

LLM-Enhanced Multimodal Fusion for Cross-Domain Sequential Recommendation
by: Wu, Wangyu, et al.
Published: (2025)

Image Fusion for Cross-Domain Sequential Recommendation
by: Wu, Wangyu, et al.
Published: (2024)

Pacer and Runner: Cooperative Learning Framework between Single- and Cross-Domain Sequential Recommendation
by: Park, Chung, et al.
Published: (2024)

HMamba: Hyperbolic Mamba for Sequential Recommendation
by: Zhang, Qianru, et al.
Published: (2025)