:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Elsayed, Shereen, Rashed, Ahmed, Schmidt-Thieme, Lars
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval Machine Learning
Online Access:	https://arxiv.org/abs/2405.09638
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Rethinking Convolutional Networks for Attribute-Aware Sequential Recommendation
by: Elsayed, Shereen, et al.
Published: (2026)

Masked Diffusion for Generative Recommendation
by: Shah, Kulin, et al.
Published: (2025)

Hybrid-Hierarchical Fashion Graph Attention Network for Compatibility-Oriented and Personalized Outfit Recommendation
by: Saed, Sajjad, et al.
Published: (2025)

ID and Graph View Contrastive Learning with Multi-View Attention Fusion for Sequential Recommendation
by: Zhou, Xiaofan, et al.
Published: (2026)

Hierarchical Group-wise Ranking Framework for Recommendation Models
by: Yan, YaChen, et al.
Published: (2025)

Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning based Recommendation Systems
by: Wang, Siyu, et al.
Published: (2024)

Multi-Item-Query Attention for Stable Sequential Recommendation
by: Xu, Mingshi, et al.
Published: (2025)

ReFORM: Review-aggregated Profile Generation via LLM with Multi-Factor Attention for Restaurant Recommendation
by: Park, Moonsoo, et al.
Published: (2026)

Towards Personalized Bangla Book Recommendation: A Large-Scale Multi-Entity Book Graph Dataset
by: Ahmed, Rahin Arefin, et al.
Published: (2026)

Scaling Generative Recommendations with Context Parallelism on Hierarchical Sequential Transducers
by: Dong, Yue, et al.
Published: (2025)

Leveraging Negative Signals with Self-Attention for Sequential Music Recommendation
by: Seshadri, Pavan, et al.
Published: (2023)

Sequential Recommendation via Adaptive Robust Attention with Multi-dimensional Embeddings
by: Pang, Linsey, et al.
Published: (2024)

RSAttAE: An Information-Aware Attention-based Autoencoder Recommender System
by: Taromi, Amirhossein Dadashzadeh, et al.
Published: (2025)

Movie Recommendation with Poster Attention via Multi-modal Transformer Feature Fusion
by: Xia, Linhan, et al.
Published: (2024)

Masked Multi-Domain Network: Multi-Type and Multi-Scenario Conversion Rate Prediction with a Single Model
by: Ouyang, Wentao, et al.
Published: (2024)

Knowledge-Aware Multi-Intent Contrastive Learning for Multi-Behavior Recommendation
by: Liang, Shunpan, et al.
Published: (2024)

Multi-Objective Recommendation via Multivariate Policy Learning
by: Jeunen, Olivier, et al.
Published: (2024)

STEM: Unleashing the Power of Embeddings for Multi-task Recommendation
by: Su, Liangcai, et al.
Published: (2023)

Hierarchical Reinforcement Learning for Temporal Abstraction of Listwise Recommendation
by: Ji, Luo, et al.
Published: (2024)

Multi-view Attention Fusion of Heterogeneous Hypergraph with Dynamic Behavioral Profiling for Personalized Learning Resource Recommendation
by: Xie, Tao, et al.
Published: (2026)

Adaptive Conditional Expert Selection Network for Multi-domain Recommendation
by: Dong, Kuiyao, et al.
Published: (2024)

Multi-Margin Cosine Loss: Proposal and Application in Recommender Systems
by: Ozsoy, Makbule Gulcin
Published: (2024)

Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation
by: Zhao, Yuang, et al.
Published: (2024)

RMBRec: Robust Multi-Behavior Recommendation towards Target Behaviors
by: Cai, Miaomiao, et al.
Published: (2026)

ACT: Automated Constraint Targeting for Multi-Objective Recommender Systems
by: Chang, Daryl, et al.
Published: (2025)

Macro Graph of Experts for Billion-Scale Multi-Task Recommendation
by: Yao, Hongyu, et al.
Published: (2025)

Knowledge Enhanced Multi-Domain Recommendations in an AI Assistant Application
by: Markowitz, Elan, et al.
Published: (2023)

Dynamic Graph with Similarity-Aware Attention Graph Neural Network for Recommender Systems
by: Senapati, Aadarsh, et al.
Published: (2026)

Within-basket Recommendation via Neural Pattern Associator
by: Luo, Kai, et al.
Published: (2024)

Hierarchical Multi-Interest Co-Network For Coarse-Grained Ranking
by: Yuan, Xu, et al.
Published: (2022)

Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential Recommendation
by: Liu, Mingrui, et al.
Published: (2024)

Modeling Multi-Hop Semantic Paths for Recommendation in Heterogeneous Information Networks
by: Zheng, Hongye, et al.
Published: (2025)

Multi-task Offline Reinforcement Learning for Online Advertising in Recommender Systems
by: Liu, Langming, et al.
Published: (2025)

CADMR: Cross-Attention and Disentangled Learning for Multimodal Recommender Systems
by: Khalafaoui, Yasser, et al.
Published: (2024)

An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention
by: Shin, Yehjin, et al.
Published: (2023)

Position-Aware Sequential Attention for Accurate Next Item Recommendations
by: Nabiev, Timur, et al.
Published: (2026)

Joint Identifiability of Cross-Domain Recommendation via Hierarchical Subspace Disentanglement
by: Du, Jing, et al.
Published: (2024)

Causal Feature Selection Method for Contextual Multi-Armed Bandits in Recommender System
by: Zhao, Zhenyu, et al.
Published: (2024)

Multi-Graph Co-Training for Capturing User Intent in Session-based Recommendation
by: Yang, Zhe, et al.
Published: (2024)

Effective Two-Stage Knowledge Transfer for Multi-Entity Cross-Domain Recommendation
by: Guan, Jianyu, et al.
Published: (2024)