Cover Image

Revisiting Graph Projections for Effective Complementary Product Recommendation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Anghinoni, Leandro, Zivic, Pablo, Sanchez, Jorge Adrian
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LLM-Enhanced Reranking for Complementary Product Recommendation
by: Xu, Zekun, et al.
Published: (2025)

CAST: Modeling Semantic-Level Transitions for Complementary-Aware Sequential Recommendation
by: Zhang, Qian, et al.
Published: (2026)

Graph Neural Network for Product Recommendation on the Amazon Co-purchase Graph
by: Cao, Mengyang, et al.
Published: (2025)

Enabling Explainable Recommendation in E-commerce with LLM-powered Product Knowledge Graph
by: Wang, Menghan, et al.
Published: (2024)

Graph Augmentation for Recommendation
by: Zhang, Qianru, et al.
Published: (2024)

The Unreasonable Effectiveness of Data for Recommender Systems
by: Abdou, Youssef
Published: (2026)

Complementary Recommendation in E-commerce: Definition, Approaches, and Future Directions
by: Li, Linyue, et al.
Published: (2024)

DenseRec: Revisiting Dense Content Embeddings for Sequential Transformer-based Recommendation
by: Lichtenberg, Jan Malte, et al.
Published: (2025)

RankGraph: Unified Heterogeneous Graph Learning for Cross-Domain Recommendation
by: Wu, Renzhi, et al.
Published: (2025)

Graph Spectral Filtering with Chebyshev Interpolation for Recommendation
by: Kim, Chanwoo, et al.
Published: (2025)

Knowledge Graph Context-Enhanced Diversified Recommendation
by: Liu, Xiaolong, et al.
Published: (2023)

Mixed Supervised Graph Contrastive Learning for Recommendation
by: Zhang, Weizhi, et al.
Published: (2024)

GraphFusionSBR: Denoising Multi-Channel Graphs for Session-Based Recommendation
by: He, Jia-Xin, et al.
Published: (2026)

Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation
by: Shi, Wentao, et al.
Published: (2024)

Ultra Fast Warm Start Solution for Graph Recommendations
by: Yusupov, Viacheslav, et al.
Published: (2025)

Traceable Drug Recommendation over Medical Knowledge Graphs
by: Lin, Yu, et al.
Published: (2025)

Dual-Channel Multiplex Graph Neural Networks for Recommendation
by: Li, Xiang, et al.
Published: (2024)

Linear-Time Graph Neural Networks for Scalable Recommendations
by: Zhang, Jiahao, et al.
Published: (2024)

Cluster-Enhanced Federated Graph Neural Network for Recommendation
by: Wang, Haiyan, et al.
Published: (2024)

Optimizing Conversational Product Recommendation via Reinforcement Learning
by: Liu, Kang
Published: (2025)

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

Efficient and Effective Query Context-Aware Learning-to-Rank Model for Sequential Recommendation
by: Dzhoha, Andrii, et al.
Published: (2025)

Unlocking the Power of Diffusion Models in Sequential Recommendation: A Simple and Effective Approach
by: Chen, Jialei, et al.
Published: (2025)

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

Correct and Weight: A Simple Yet Effective Loss for Implicit Feedback Recommendation
by: Yin, Minglei, et al.
Published: (2026)

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

Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks
by: De Nadai, Marco, et al.
Published: (2024)

Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution
by: Xu, Cong, et al.
Published: (2023)

Beauty Beyond Words: Explainable Beauty Product Recommendations Using Ingredient-Based Product Attributes
by: Liu, Siliang, et al.
Published: (2024)

Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples
by: Xu, Xiaoxiao, et al.
Published: (2025)

End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling
by: Sun, Zexu, et al.
Published: (2024)

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion
by: Jeon, Dong Hyun, et al.
Published: (2025)

LiveGraph: Active-Structure Neural Re-ranking for Exercise Recommendation
by: Fu, Rong, et al.
Published: (2026)

Preference and Concurrence Aware Bayesian Graph Neural Networks for Recommender Systems
by: Gu, Hongjian, et al.
Published: (2023)

SPGL: Enhancing Session-based Recommendation with Single Positive Graph Learning
by: Liang, Tiantian, et al.
Published: (2024)

Quantifying User Coherence: A Unified Framework for Analyzing Recommender Systems Across Domains
by: Soumm, Michaël, et al.
Published: (2024)

From Raw Features to Effective Embeddings: A Three-Stage Approach for Multimodal Recipe Recommendation
by: Shin, Jeeho, et al.
Published: (2025)

What Makes LLMs Effective Sequential Recommenders? A Study on Preference Intensity and Temporal Context
by: Ouyang, Zhongyu, et al.
Published: (2025)

Avoiding Over-Personalization with Rule-Guided Knowledge Graph Adaptation for LLM Recommendations
by: Spadea, Fernando, et al.
Published: (2025)

Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation
by: Ge, Chendi, et al.
Published: (2025)