Cover Image

Cross-channel Recommendation for Multi-channel Retail

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Choi, Yijin, Shin, Jongkyung, Lim, Chiehyeon
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

Intent-Interest Disentanglement and Item-Aware Intent Contrastive Learning for Sequential Recommendation
by: Choi, Yijin, et al.
Published: (2025)

Sequential Recommendation on Temporal Proximities with Contrastive Learning and Self-Attention
by: Jung, Hansol, et al.
Published: (2024)

Group Movie Selection using Multi-channel Emotion Recognition
by: Kadyrgali, Elnara, et al.
Published: (2024)

Contrastive Learning for Diversity-Aware Product Recommendations in Retail
by: Karlis, Vasileios, et al.
Published: (2026)

Review-Based Hyperbolic Cross-Domain Recommendation
by: Choi, Yoonhyuk, et al.
Published: (2024)

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

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

Compress, Cross and Scale: Multi-Level Compression Cross Networks for Efficient Scaling in Recommender Systems
by: Yu, Heng, et al.
Published: (2026)

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

Towards Bridging the Cross-modal Semantic Gap for Multi-modal Recommendation
by: Wu, Xinglong, et al.
Published: (2024)

Multi-Level Sequence Denoising with Cross-Signal Contrastive Learning for Sequential Recommendation
by: Zhu, Xiaofei, et al.
Published: (2024)

Personalized Multi-Interest Modeling for Cross-Domain Recommendation to Cold-Start Users
by: Li, Xiaodong, et al.
Published: (2026)

MIMNet: Multi-Interest Meta Network with Multi-Granularity Target-Guided Attention for Cross-domain Recommendation
by: Zhu, Xiaofei, et al.
Published: (2024)

Generative Multi-Target Cross-Domain Recommendation
by: Jin, Jinqiu, et al.
Published: (2025)

Graph Cross-Correlated Network for Recommendation
by: Chen, Hao, et al.
Published: (2024)

Joint Similarity Item Exploration and Overlapped User Guidance for Multi-Modal Cross-Domain Recommendation
by: Liu, Weiming, et al.
Published: (2025)

Multi-Behavior Recommender Systems: A Survey
by: Kim, Kyungho, et al.
Published: (2025)

FLAME: Condensing Ensemble Diversity into a Single Network for Efficient Sequential Recommendation
by: Kim, WooJoo, et al.
Published: (2026)

Multi-Aspect Cross-modal Quantization for Generative Recommendation
by: Zhang, Fuwei, et al.
Published: (2025)

Privacy-Preserving Cross-Domain Sequential Recommendation
by: Lin, Zhaohao, et al.
Published: (2024)

A Unified Framework for Cross-Domain Recommendation
by: Cao, Jiangxia, et al.
Published: (2024)

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

M3DocDep: Multi-modal, Multi-page, Multi-document Dependency Chunking with Large Vision-Language Models
by: Shin, Joongmin, et al.
Published: (2026)

Impedance vs. Power Side-channel Vulnerabilities: A Comparative Study
by: Awal, Md Sadik, et al.
Published: (2024)

Similarity-Guided Diffusion for Contrastive Sequential Recommendation
by: Choi, Jinkyeong, et al.
Published: (2025)

Personalized Parameter-Efficient Fine-Tuning of Foundation Models for Multimodal Recommendation
by: Kim, Sunwoo, et al.
Published: (2026)

A Self-Supervised Mixture-of-Experts Framework for Multi-behavior Recommendation
by: Kim, Kyungho, et al.
Published: (2025)

Personalized Federated Recommendation With Knowledge Guidance
by: Lim, Jaehyung, et al.
Published: (2025)

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

Cross-Domain Recommendation Meets Large Language Models
by: Vajjala, Ajay Krishna, et al.
Published: (2024)

Bridging Search and Recommendation through Latent Cross Reasoning
by: Shi, Teng, et al.
Published: (2025)

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

Multi-Behavior Generative Recommendation
by: Liu, Zihan, et al.
Published: (2024)

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

Aiming at the Target: Filter Collaborative Information for Cross-Domain Recommendation
by: Li, Hanyu, et al.
Published: (2024)

Sharpness-Aware Cross-Domain Recommendation to Cold-Start Users
by: Zeng, Guohang, et al.
Published: (2024)

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

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

Cross-domain Recommender Systems via Multimodal Domain Adaptation
by: Shyam, Adamya, et al.
Published: (2023)

Uncovering Cross-Domain Recommendation Ability of Large Language Models
by: Liu, Xinyi, et al.
Published: (2025)