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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-15719-7_3openalex-snapshot

Cross-Domain Recommendation via Deep Domain Adaptation

inferredcites →https://doi.org/10.1007/978-3-319-49409-8_35openalex-snapshot

Deep CORAL: Correlation Alignment for Deep Domain Adaptation

inferredcites →https://doi.org/10.1109/cvpr.2006.100openalex-snapshot

Dimensionality Reduction by Learning an Invariant Mapping

inferredcites →https://doi.org/10.1109/cvpr.2017.316openalex-snapshot

Adversarial Discriminative Domain Adaptation

inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot

Matrix Factorization Techniques for Recommender Systems

inferredcites →https://doi.org/10.1109/tkde.2009.191openalex-snapshot

A Survey on Transfer Learning

inferredcites →https://doi.org/10.1145/1008992.1009006openalex-snapshot

Discriminative models for information retrieval

inferredcites →https://doi.org/10.1145/1102351.1102363openalex-snapshot

Learning to rank using gradient descent

inferredcites →https://doi.org/10.1145/1273496.1273513openalex-snapshot

Learning to rank

inferredcites →https://doi.org/10.1145/1553374.1553380openalex-snapshot

Curriculum learning

inferredcites →https://doi.org/10.1145/2505515.2505665openalex-snapshot

Learning deep structured semantic models for web search using clickthrough data

inferredcites →https://doi.org/10.1145/2766462.2767716openalex-snapshot

Effective Latent Models for Binary Feedback in Recommender Systems

inferredcites →https://doi.org/10.1145/2766462.2767738openalex-snapshot

Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks

inferredcites →https://doi.org/10.1145/2959100.2959190openalex-snapshot

Deep Neural Networks for YouTube Recommendations

inferredcites →https://doi.org/10.1145/3077136.3080786openalex-snapshot

IRGAN

inferredcites →https://doi.org/10.1145/3097983.3098066openalex-snapshot

The Selective Labels Problem

inferredcites →https://doi.org/10.1145/3178876.3186150openalex-snapshot

Variational Autoencoders for Collaborative Filtering

inferredcites →https://doi.org/10.1145/3240323.3240360openalex-snapshot

Causal embeddings for recommendation

inferredcites →https://doi.org/10.1145/3269206.3269264openalex-snapshot

An Adversarial Approach to Improve Long-Tail Performance in Neural Collaborative Filtering

inferredcites →https://doi.org/10.1145/3308558.3313538openalex-snapshot

Cross-domain Recommendation Without Sharing User-relevant Data

inferredcites →https://doi.org/10.1145/3308558.3313678openalex-snapshot

Improving Top-K Recommendation via JointCollaborative Autoencoders

inferredcites →https://doi.org/10.1145/3357384.3358058openalex-snapshot

Improving Ad Click Prediction by Considering Non-displayed Events

inferredcites →https://doi.org/10.1145/775047.775067openalex-snapshot

Optimizing search engines using clickthrough data

inferredcites →https://doi.org/10.1609/aaai.v33i01.33013296openalex-snapshot

Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation

inferredcites →https://doi.org/10.1609/aaai.v33i01.33015941openalex-snapshot

Deep Interest Evolution Network for Click-Through Rate Prediction

inferredcites →https://doi.org/10.21236/ada486804openalex-snapshot

Relational Learning via Collective Matrix Factorization

inferredcites →https://doi.org/10.24963/ijcai.2017/343openalex-snapshot

Cross-Domain Recommendation: An Embedding and Mapping Approach

inferredcites →https://doi.org/10.5555/2946645.2946704openalex-snapshot

Domain-adversarial training of neural networks

inferredcites →https://doi.org/10.7551/mitpress/9780262170055.001.0001openalex-snapshot

Dataset Shift in Machine Learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4637729openalex-extracted

inferred← citeshttps://doi.org/10.1007/978-3-031-30672-3_2openalex-snapshot

HIT: Learning a Hierarchical Tree-Based Model with Variable-Length Layers for Recommendation Systems

inferred← citeshttps://doi.org/10.1007/978-3-031-33380-4_21openalex-snapshot

Semantic Relation Transfer for Non-overlapped Cross-domain Recommendations

inferred← citeshttps://doi.org/10.1007/978-3-031-43427-3_8openalex-snapshot

DegUIL: Degree-Aware Graph Neural Networks for Long-Tailed User Identity Linkage

inferred← citeshttps://doi.org/10.1007/978-3-032-20897-2_72openalex-snapshot

Task-Aligned Augmented Graph for Cold-Start Recommendation

inferred← citeshttps://doi.org/10.1007/s10115-025-02426-1openalex-snapshot

Addressing popularity discrepancy in collaborative filtering

inferred← citeshttps://doi.org/10.1007/s10479-024-06208-wopenalex-snapshot

Kralr: knowledge-enhanced representation aggregation for long-tail recommendation

inferred← citeshttps://doi.org/10.1007/s10489-024-05546-3openalex-snapshot

A novel multi-view contrastive learning for herb recommendation

inferred← citeshttps://doi.org/10.1007/s10489-025-07053-5openalex-snapshot

Popularity debiasing of multi-behavior recommendation via causal inference and data augmentation

inferred← citeshttps://doi.org/10.1007/s11192-023-04636-2openalex-snapshot

Biases in scholarly recommender systems: impact, prevalence, and mitigation

inferred← citeshttps://doi.org/10.1007/s11280-024-01242-xopenalex-snapshot

Invariant representation learning to popularity distribution shift for recommendation

inferred← citeshttps://doi.org/10.1007/s11280-024-01272-5openalex-snapshot

PopGR: Popularity reweighting for debiasing in group recommendation

inferred← citeshttps://doi.org/10.1007/s41019-023-00226-7openalex-snapshot

Combining Graph Contrastive Embedding and Multi-head Cross-Attention Transfer for Cross-Domain Recommendation

inferred← citeshttps://doi.org/10.1007/s41060-024-00557-2openalex-snapshot

Fusion of single-domain contrastive embedding and cross-domain graph collaborative filtering network for recommendation systems

inferred← citeshttps://doi.org/10.1007/s42486-024-00149-wopenalex-snapshot

ERMPD: causal intervention for popularity debiasing in recommendation via empirical risk minimization

inferred← citeshttps://doi.org/10.1016/j.asoc.2024.112610openalex-snapshot

Relieving popularity bias in recommender systems via user group-level augmentation

inferred← citeshttps://doi.org/10.1016/j.engappai.2024.109911openalex-snapshot

Pareto selective error feedback suppression for popularity–diversity balanced session-based recommendation

inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121429openalex-snapshot

Popularity-aware sequential recommendation with user desire

inferred← citeshttps://doi.org/10.1016/j.eswa.2025.126506openalex-snapshot

BARE: Balance representation for imbalance multi-class node classification on heterogeneous information networks

inferred← citeshttps://doi.org/10.1016/j.ins.2024.120871openalex-snapshot

Relation pruning and discriminative sampling over knowledge graph for long-tail recommendation

inferred← citeshttps://doi.org/10.1016/j.ipm.2024.104028openalex-snapshot

Invariant debiasing learning for recommendation via biased imputation

inferred← citeshttps://doi.org/10.1016/j.ipm.2025.104261openalex-snapshot

Enhancing job recommendations with LLM-based resume completion: A behavior-denoised alignment approach

inferred← citeshttps://doi.org/10.1016/j.jbi.2025.104843openalex-snapshot

Adaptive debiasing learning for drug repositioning

inferred← citeshttps://doi.org/10.1016/j.knosys.2022.110205openalex-snapshot

HOMDA: High-Order Moment-Based Domain Alignment for unsupervised domain adaptation

inferred← citeshttps://doi.org/10.1016/j.knosys.2024.111963openalex-snapshot

CrossGCL: Cross-pairwise graph contrastive learning for unbiased recommendation

inferred← citeshttps://doi.org/10.1016/j.knosys.2024.112607openalex-snapshot

CBRec: A causal way balancing multidimensional attraction effect in POI recommendations

inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113186openalex-snapshot

User group-enhanced user feature distribution transfer framework for non-overlapping cross-domain recommendations

inferred← citeshttps://doi.org/10.1016/j.neunet.2025.107872openalex-snapshot

Price-aware debiased learning model for recommendation

inferred← citeshttps://doi.org/10.1109/bigdata55660.2022.10020565openalex-snapshot

Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations

inferred← citeshttps://doi.org/10.1109/iccia49625.2020.00028openalex-snapshot

Human Action Recognition Based on Improved Fusion Attention CNN and RNN

inferred← citeshttps://doi.org/10.1109/icdcot61034.2024.10515699openalex-snapshot

Contrastive Learning-based Meta-Learning Sequential Recommendation

inferred← citeshttps://doi.org/10.1109/icdew61823.2024.00035openalex-snapshot

On Explaining Unfairness: An Overview

inferred← citeshttps://doi.org/10.1109/ictai56018.2022.00129openalex-snapshot

BiGNN: A Bilateral-Branch Graph Neural Network to Solve Popularity Bias in Recommendation

inferred← citeshttps://doi.org/10.1109/itme53901.2021.00063openalex-snapshot

Simultaneous Peritoneal Tumor Detection Algorithm based on Domain Adaptation

inferred← citeshttps://doi.org/10.1109/tai.2025.3575554openalex-snapshot

Causal Disentanglement for Tackling Popularity Bias in Sequential Recommendation

inferred← citeshttps://doi.org/10.1109/tifs.2024.3516584openalex-snapshot

Entire Space Counterfactual Learning for Reliable Content Recommendations

inferred← citeshttps://doi.org/10.1109/tkde.2022.3218994openalex-snapshot

Popularity Bias is not Always Evil: Disentangling Benign and Harmful Bias for Recommendation

inferred← citeshttps://doi.org/10.1109/tkde.2022.3233789openalex-snapshot

Contrastive Proxy Kernel Stein Path Alignment for Cross-Domain Cold-Start Recommendation

inferred← citeshttps://doi.org/10.1109/tkde.2023.3265598openalex-snapshot

Fairness in Graph Mining: A Survey

inferred← citeshttps://doi.org/10.1109/tkde.2024.3378482openalex-snapshot

Mitigating Hidden Confounding Effects for Causal Recommendation

inferred← citeshttps://doi.org/10.1109/tkde.2024.3446581openalex-snapshot

Mining User Consistent and Robust Preference for Unified Cross Domain Recommendation

inferred← citeshttps://doi.org/10.1109/tkde.2025.3613263openalex-snapshot

Preference Aware Item Cold-Start Recommendation With Hierarchical Item Alignment

inferred← citeshttps://doi.org/10.1109/tsc.2024.3349853openalex-snapshot

Collaborative Tag-Aware Graph Neural Network for Long-Tail Service Recommendation

inferred← citeshttps://doi.org/10.1111/exsy.70212openalex-snapshot

Label‐Aware Augmentation for Long‐Tailed Cross‐Network Node Classification

inferred← citeshttps://doi.org/10.1145/3404835.3462843openalex-snapshot

Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks

inferred← citeshttps://doi.org/10.1145/3404835.3462878openalex-snapshot

Path-based Deep Network for Candidate Item Matching in Recommenders

inferred← citeshttps://doi.org/10.1145/3404835.3462886openalex-snapshot

Set2setRank

inferred← citeshttps://doi.org/10.1145/3404835.3462888openalex-snapshot

Long-Tail Hashing

inferred← citeshttps://doi.org/10.1145/3404835.3462919openalex-snapshot

AutoDebias: Learning to Debias for Recommendation

inferred← citeshttps://doi.org/10.1145/3404835.3462943openalex-snapshot

Mitigating Sentiment Bias for Recommender Systems

inferred← citeshttps://doi.org/10.1145/3404835.3462983openalex-snapshot

Underestimation Refinement: A General Enhancement Strategy for Exploration in Recommendation Systems

inferred← citeshttps://doi.org/10.1145/3447548.3467276openalex-snapshot

Tail-GNN

inferred← citeshttps://doi.org/10.1145/3459637.3482417openalex-snapshot

Concept-Aware Denoising Graph Neural Network for Micro-Video Recommendation

inferred← citeshttps://doi.org/10.1145/3459637.3482461openalex-snapshot

Popcorn

inferred← citeshttps://doi.org/10.1145/3460231.3473321openalex-snapshot

Bias Issues and Solutions in Recommender System

inferred← citeshttps://doi.org/10.1145/3460231.3474268openalex-snapshot

ProtoCF: Prototypical Collaborative Filtering for Few-shot Recommendation

inferred← citeshttps://doi.org/10.1145/3469856openalex-snapshot

Knowledge Preserving and Distribution Alignment for Heterogeneous Domain Adaptation

inferred← citeshttps://doi.org/10.1145/3477495.3531797openalex-snapshot

Transform Cold-Start Users into Warm via Fused Behaviors in Large-Scale Recommendation

inferred← citeshttps://doi.org/10.1145/3477495.3531897openalex-snapshot

Generative Adversarial Framework for Cold-Start Item Recommendation

inferred← citeshttps://doi.org/10.1145/3477495.3531902openalex-snapshot

Improving Item Cold-start Recommendation via Model-agnostic Conditional Variational Autoencoder

inferred← citeshttps://doi.org/10.1145/3477495.3531907openalex-snapshot

Neutralizing Popularity Bias in Recommendation Models

inferred← citeshttps://doi.org/10.1145/3477495.3531952openalex-snapshot

Co-training Disentangled Domain Adaptation Network for Leveraging Popularity Bias in Recommenders

inferred← citeshttps://doi.org/10.1145/3477495.3531975openalex-snapshot

Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation

inferred← citeshttps://doi.org/10.1145/3477495.3532002openalex-snapshot

Interpolative Distillation for Unifying Biased and Debiased Recommendation

inferred← citeshttps://doi.org/10.1145/3477495.3532053openalex-snapshot

Re-weighting Negative Samples for Model-Agnostic Matching

inferred← citeshttps://doi.org/10.1145/3477495.3532684openalex-snapshot

Self-Supervised Learning for Recommender System

inferred← citeshttps://doi.org/10.1145/3485447.3512010openalex-snapshot

Cross Pairwise Ranking for Unbiased Item Recommendation

inferred← citeshttps://doi.org/10.1145/3485447.3512081openalex-snapshot

UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation

inferred← citeshttps://doi.org/10.1145/3485447.3512166openalex-snapshot

Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation

inferred← citeshttps://doi.org/10.1145/3485447.3512197openalex-snapshot

On Size-Oriented Long-Tailed Graph Classification of Graph Neural Networks

inferred← citeshttps://doi.org/10.1145/3486622.3493961openalex-snapshot

CADPP: An Effective Approach to Recommend Attentive and Diverse Long-tail Items

inferred← citeshttps://doi.org/10.1145/3539618.3591635openalex-snapshot

Adaptive Popularity Debiasing Aggregator for Graph Collaborative Filtering

inferred← citeshttps://doi.org/10.1145/3539618.3591725openalex-snapshot

MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation

inferred← citeshttps://doi.org/10.1145/3539618.3591939openalex-snapshot

A Model-Agnostic Popularity Debias Training Framework for Click-Through Rate Prediction in Recommender System

inferred← citeshttps://doi.org/10.1145/3543507.3583366openalex-snapshot

Joint Internal Multi-Interest Exploration and External Domain Alignment for Cross Domain Sequential Recommendation

inferred← citeshttps://doi.org/10.1145/3543507.3583461openalex-snapshot

Invariant Collaborative Filtering to Popularity Distribution Shift

inferred← citeshttps://doi.org/10.1145/3580305.3599428openalex-snapshot

Meta Graph Learning for Long-tail Recommendation

inferred← citeshttps://doi.org/10.1145/3580305.3599487openalex-snapshot

Reconsidering Learning Objectives in Unbiased Recommendation: A Distribution Shift Perspective

inferred← citeshttps://doi.org/10.1145/3583780.3614794openalex-snapshot

BOMGraph: Boosting Multi-scenario E-commerce Search with a Unified Graph Neural Network

inferred← citeshttps://doi.org/10.1145/3583780.3614801openalex-snapshot

Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item Recommendation

inferred← citeshttps://doi.org/10.1145/3583780.3615077openalex-snapshot

Text Matching Improves Sequential Recommendation by Reducing Popularity Biases

inferred← citeshttps://doi.org/10.1145/3589334.3645331openalex-snapshot

User Distribution Mapping Modelling with Collaborative Filtering for Cross Domain Recommendation

inferred← citeshttps://doi.org/10.1145/3589334.3645421openalex-snapshot

Debiasing Recommendation with Personal Popularity

inferred← citeshttps://doi.org/10.1145/3589334.3645667openalex-snapshot

General Debiasing for Graph-based Collaborative Filtering via Adversarial Graph Dropout

inferred← citeshttps://doi.org/10.1145/3606040.3617441openalex-snapshot

On Popularity Bias of Multimodal-aware Recommender Systems: A Modalities-driven Analysis

inferred← citeshttps://doi.org/10.1145/3626772.3657780openalex-snapshot

Mutual Information-based Preference Disentangling and Transferring for Non-overlapped Multi-target Cross-domain Recommendations

inferred← citeshttps://doi.org/10.1145/3627159openalex-snapshot

Robust Collaborative Filtering to Popularity Distribution Shift

inferred← citeshttps://doi.org/10.1145/3627673.3679581openalex-snapshot

TEXT CAN BE FAIR: Mitigating Popularity Bias with PLMs by Learning Relative Preference

inferred← citeshttps://doi.org/10.1145/3627673.3680067openalex-snapshot

Effective Utilization of Large-scale Unobserved Data in Recommendation Systems

inferred← citeshttps://doi.org/10.1145/3655617openalex-snapshot

Toward Bias-Agnostic Recommender Systems: A Universal Generative Framework

inferred← citeshttps://doi.org/10.1145/3690624.3709299openalex-snapshot

Generalizable Recommender System During Temporal Popularity Distribution Shifts

inferred← citeshttps://doi.org/10.1145/3696410.3714600openalex-snapshot

ESANS: Effective and Semantic-Aware Negative Sampling for Large-Scale Retrieval Systems

inferred← citeshttps://doi.org/10.1145/3746252.3761155openalex-snapshot

Causality-aware Graph Aggregation Weight Estimator for Popularity Debiasing in Top-K Recommendation

inferred← citeshttps://doi.org/10.1145/3837081openalex-snapshot

Hierarchical Dual Debiasing in LLM-based Recommendation

inferred← citeshttps://doi.org/10.1155/2022/4264489openalex-snapshot

Adaptive Alleviation for Popularity Bias in Recommender Systems with Knowledge Graph

inferred← citeshttps://doi.org/10.1609/aaai.v37i8.26182openalex-snapshot

Cooperative and Adversarial Learning: Co-enhancing Discriminability and Transferability in Domain Adaptation

inferred← citeshttps://doi.org/10.1609/aaai.v39i12.33469openalex-snapshot

Addressing Cold-Start Problem in Click-Through Rate Prediction via Supervised Diffusion Modeling

inferred← citeshttps://doi.org/10.17762/ijritcc.v11i9.10016openalex-snapshot

Increasing the Sale of Long Tail Items on E-Commerce Websites

inferred← citeshttps://doi.org/10.18653/v1/2022.findings-naacl.38openalex-snapshot

Harmless Transfer Learning for Item Embeddings

inferred← citeshttps://doi.org/10.3390/rs17122101openalex-snapshot

UCrack-DA: A Multi-Scale Unsupervised Domain Adaptation Method for Surface Crack Segmentation

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