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A Critical Study on Data Leakage in Recommender System Offline Evaluation
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4899-7637-6openalex-snapshot
Recommender Systems Handbook
inferredcites →https://doi.org/10.1007/978-1-4899-7637-6_8openalex-snapshot
Evaluating Recommender Systems
inferredcites →https://doi.org/10.1007/978-3-030-19274-7_47openalex-snapshot
Deep Learning-Based Sequential Recommender Systems: Concepts, Algorithms, and Evaluations
inferredcites →https://doi.org/10.1007/s10791-020-09371-3openalex-snapshot
Offline evaluation options for recommender systems
inferredcites →https://doi.org/10.1007/s11257-012-9136-xopenalex-snapshot
Time-aware recommender systems: a comprehensive survey and analysis of existing evaluation protocols
inferredcites →https://doi.org/10.1109/icdm.2018.00035openalex-snapshot
Self-Attentive Sequential Recommendation
inferredcites →https://doi.org/10.1109/tkde.2019.2960216openalex-snapshot
Statistically Robust Evaluation of Stream-Based Recommender Systems
inferredcites →https://doi.org/10.1145/1864708.1864753openalex-snapshot
Evaluating the dynamic properties of recommendation algorithms
inferredcites →https://doi.org/10.1145/2043932.2043990openalex-snapshot
Towards a more realistic evaluation
inferredcites →https://doi.org/10.1145/2043932.2043996openalex-snapshot
Precision-oriented evaluation of recommender systems
inferredcites →https://doi.org/10.1145/2532508.2532512openalex-snapshot
Research paper recommender system evaluation
inferredcites →https://doi.org/10.1145/2556270openalex-snapshot
Collaborative Filtering beyond the User-Item Matrix
inferredcites →https://doi.org/10.1145/2645710.2645723openalex-snapshot
Exploiting temporal influence in online recommendation
inferredcites →https://doi.org/10.1145/2645710.2645746openalex-snapshot
Comparative recommender system evaluation
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3132847.3132926openalex-snapshot
Neural Attentive Session-based Recommendation
inferredcites →https://doi.org/10.1145/3137597.3137601openalex-snapshot
Common Pitfalls in Training and Evaluating Recommender Systems
inferredcites →https://doi.org/10.1145/3209978.3210017openalex-snapshot
Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks
inferredcites →https://doi.org/10.1145/3240323.3240356openalex-snapshot
Translation-based factorization machines for sequential recommendation
inferredcites →https://doi.org/10.1145/3240323.3240363openalex-snapshot
Adaptive collaborative topic modeling for online recommendation
inferredcites →https://doi.org/10.1145/3289600.3290989openalex-snapshot
Session-Based Social Recommendation via Dynamic Graph Attention Networks
inferredcites →https://doi.org/10.1145/3292500.3330959openalex-snapshot
Dual Sequential Prediction Models Linking Sequential Recommendation and Information Dissemination
inferredcites →https://doi.org/10.1145/3298689.3347069openalex-snapshot
Revisiting offline evaluation for implicit-feedback recommender systems
inferredcites →https://doi.org/10.1145/3383313.3412489openalex-snapshot
Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison
inferredcites →https://doi.org/10.1145/3383313.3418479openalex-snapshot
Exploring Data Splitting Strategies for the Evaluation of Recommendation Models
inferredcites →https://doi.org/10.1145/3394486.3403226openalex-snapshot
On Sampled Metrics for Item Recommendation
inferredcites →https://doi.org/10.1145/3397271.3401096openalex-snapshot
Agreement and Disagreement between True and False-Positive Metrics in Recommender Systems Evaluation
inferredcites →https://doi.org/10.1145/3397271.3401133openalex-snapshot
Next-item Recommendation with Sequential Hypergraphs
inferredcites →https://doi.org/10.1145/3397271.3401167openalex-snapshot
How to Retrain Recommender System?
inferredcites →https://doi.org/10.1145/3397271.3401233openalex-snapshot
A Re-visit of the Popularity Baseline in Recommender Systems
inferredcites →https://doi.org/10.1145/3404835.3462875openalex-snapshot
Causal Intervention for Leveraging Popularity Bias in Recommendation
inferredcites →https://doi.org/10.1145/3404835.3463245openalex-snapshot
Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
inferredcites →https://doi.org/10.1145/3458509openalex-snapshot
The Simpson’s Paradox in the Offline Evaluation of Recommendation Systems
inferredcites →https://doi.org/10.1145/3459637.3482016openalex-snapshot
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms
inferredcites →https://doi.org/10.1145/3460231.3474239openalex-snapshot
Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems
inferredcites →https://doi.org/10.1145/3556536openalex-snapshot
Evaluating Recommender Systems: Survey and Framework
inferredcites →https://doi.org/10.1609/aaai.v30i1.9973openalex-snapshot
VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback
inferredcites →https://doi.org/10.1609/aaai.v33i01.33015329openalex-snapshot
Explainable Reasoning over Knowledge Graphs for Recommendation
inferredcites →https://doi.org/10.1609/aaai.v34i04.5854openalex-snapshot
Sequential Recommendation with Relation-Aware Kernelized Self-Attention
inferredcites →https://doi.org/10.1609/aaai.v34i04.5945openalex-snapshot
Memory Augmented Graph Neural Networks for Sequential Recommendation
inferredcites →https://doi.org/10.18653/v1/d19-1018openalex-snapshot
Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects
inferredcites →https://doi.org/10.48550/arxiv.1205.2618openalex-snapshot
BPR: Bayesian Personalized Ranking from Implicit Feedback
inferredcites →https://doi.org/10.48550/arxiv.1707.07435openalex-snapshot
Deep Learning based Recommender System: A Survey and New Perspectives
inferredcites →https://doi.org/10.48550/arxiv.1912.02263openalex-snapshot
Evaluation Metrics for Item Recommendation under Sampling
inferredcites →https://doi.org/10.5555/1577069.1755883openalex-snapshot
A Survey of Accuracy Evaluation Metrics of Recommendation Tasks
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-88714-7_5openalex-snapshot
The Impact of Mainstream-Driven Algorithms on Recommendations for Children
inferred← citeshttps://doi.org/10.1007/978-3-032-13509-4_16openalex-snapshot
Exploring the Evolution of Recommender Systems Through Social Network Analysis
inferred← citeshttps://doi.org/10.1007/978-3-032-21300-6_42openalex-snapshot
Pre-trained LLMs Meet Sequential Recommenders: Efficient User-Centric Knowledge Distillation
inferred← citeshttps://doi.org/10.1007/978-3-032-21324-2_5openalex-snapshot
Are Multimodal Embeddings Truly Beneficial for Recommendation? A Deep Dive into Whole vs. Individual Modalities
inferred← citeshttps://doi.org/10.1007/978-981-95-6203-9_23openalex-snapshot
FRanCS: A Fair and Randomized Anonymous Network Circuit Selection Mechanism with Blockchain
inferred← citeshttps://doi.org/10.1007/s00521-024-10828-5openalex-snapshot
Revisiting recommender systems: an investigative survey
inferred← citeshttps://doi.org/10.1007/s13735-026-00408-9openalex-snapshot
A Reproducibility Study of Multimodal Embeddings for Recommender Systems
inferred← citeshttps://doi.org/10.1007/s40558-024-00304-0openalex-snapshot
Understanding the influence of data characteristics on the performance of point-of-interest recommendation algorithms
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.120918openalex-snapshot
Thoth: An intelligent model for assisting individuals with suicidal ideation
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.134155openalex-snapshot
MCBformer: A deep learning-driven multiscale time-frequency information fusion framework for short- and medium-term wind power prediction
inferred← citeshttps://doi.org/10.1016/j.ipm.2021.102858openalex-snapshot
Leveraging social influence based on users activity centers for point-of-interest recommendation
inferred← citeshttps://doi.org/10.1016/j.ipm.2023.103335openalex-snapshot
Improving the spatial–temporal aware attention network with dynamic trajectory graph learning for next Point-Of-Interest recommendation
inferred← citeshttps://doi.org/10.1016/j.sasc.2025.200294openalex-snapshot
Online English teaching resource recommendation method design based on LightGCN CSCM
inferred← citeshttps://doi.org/10.1016/j.sbsr.2025.100739openalex-snapshot
Quality assessment of chicken using machine learning and electronic nose
inferred← citeshttps://doi.org/10.1016/j.softx.2026.103129openalex-snapshot
towerbench: A frozen-protocol benchmark harness for two-tower retrieval and autoencoder recommenders with paired bootstrap statistics on public implicit-feedback data
inferred← citeshttps://doi.org/10.1109/access.2023.3234863openalex-snapshot
Tensor-Based Sequential Learning via Hankel Matrix Representation for Next Item Recommendations
inferred← citeshttps://doi.org/10.1109/access.2023.3301162openalex-snapshot
Advancing Federated Learning Through Novel Mechanism for Privacy Preservation in Healthcare Applications
inferred← citeshttps://doi.org/10.1109/access.2023.3316019openalex-snapshot
Check It Before You Wreck It: A Guide to STAR-ML for Screening Machine Learning Reporting in Research
inferred← citeshttps://doi.org/10.1109/access.2024.3498699openalex-snapshot
Deep Leakage From Horizontal Federated Sequential Recommender Systems
inferred← citeshttps://doi.org/10.1109/access.2025.3583094openalex-snapshot
Enhancing LLMs for Sequential Recommendation With Reversed User History and User Embeddings
inferred← citeshttps://doi.org/10.1109/access.2025.3616855openalex-snapshot
Time-Evolving Fairness and Accuracy in Recommendation Systems: A Stereotype-Based Framework for Addressing Trade-Offs
inferred← citeshttps://doi.org/10.1109/cspa68262.2026.11517891openalex-snapshot
Comparison of Detection Accuracy and Inference Speed between LSTM and Transformer Models for Supervised Log Anomaly Detection under Short and Long Context Window Sizes
inferred← citeshttps://doi.org/10.1109/icde55515.2023.00100openalex-snapshot
Layer-refined Graph Convolutional Networks for Recommendation
inferred← citeshttps://doi.org/10.1109/icdmw65004.2024.00125openalex-snapshot
LLM-KT: A Versatile Framework for Knowledge Transfer from Large Language Models to Collaborative Filtering
inferred← citeshttps://doi.org/10.1109/icuis67429.2025.11380216openalex-snapshot
RecSys-DQKit: A Python Library for Comprehensive Data Quality Assessment of Recommender Systems
inferred← citeshttps://doi.org/10.1109/ispacs68724.2025.11382697openalex-snapshot
R-CICIDS2017: Making the IDS Benchmark Realistic for Quantized Models in IoT Deployments
inferred← citeshttps://doi.org/10.1109/mci.2025.3541948openalex-snapshot
A Novel Approach for Capturing Consumer Behavior and Preference - MulVAEK
inferred← citeshttps://doi.org/10.1109/tcss.2026.3708165openalex-snapshot
SDADL: SVD-Based Dual Adaptive Debiasing Learning for Personalized Recommendation
inferred← citeshttps://doi.org/10.1109/tkde.2025.3540912openalex-snapshot
CoLLM: Integrating Collaborative Embeddings Into Large Language Models for Recommendation
inferred← citeshttps://doi.org/10.1109/tkde.2026.3699701openalex-snapshot
Reason4Rec: Deliberative User Preference Alignment of Large Language Models for Recommendation
inferred← citeshttps://doi.org/10.1145/3460231.3478848openalex-snapshot
Quality Metrics in Recommender Systems: Do We Calculate Metrics Consistently?
inferred← citeshttps://doi.org/10.1145/3539618.3591931openalex-snapshot
Take a Fresh Look at Recommender Systems from an Evaluation Standpoint
inferred← citeshttps://doi.org/10.1145/3589334.3645546openalex-snapshot
GraphPro: Graph Pre-training and Prompt Learning for Recommendation
inferred← citeshttps://doi.org/10.1145/3604915.3609495openalex-snapshot
On Challenges of Evaluating Recommender Systems in an Offline Setting
inferred← citeshttps://doi.org/10.1145/3626772.3657690openalex-snapshot
LLaRA: Large Language-Recommendation Assistant
inferred← citeshttps://doi.org/10.1145/3627673.3679955openalex-snapshot
Learning the Dynamics in Sequential Recommendation by Exploiting Real-time Information
inferred← citeshttps://doi.org/10.1145/3627673.3679986openalex-snapshot
RECE: Reduced Cross-Entropy Loss for Large-Catalogue Sequential Recommenders
inferred← citeshttps://doi.org/10.1145/3637528.3671655openalex-snapshot
From Variability to Stability: Advancing RecSys Benchmarking Practices
inferred← citeshttps://doi.org/10.1145/3637528.3671687openalex-snapshot
On (Normalised) Discounted Cumulative Gain as an Off-Policy Evaluation Metric for Top- n Recommendation
inferred← citeshttps://doi.org/10.1145/3640457.3688073openalex-snapshot
Revisiting BPR: A Replicability Study of a Common Recommender System Baseline
inferred← citeshttps://doi.org/10.1145/3640457.3688140openalex-snapshot
Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item Catalogs
inferred← citeshttps://doi.org/10.1145/3640457.3688180openalex-snapshot
Self-Attentive Sequential Recommendations with Hyperbolic Representations
inferred← citeshttps://doi.org/10.1145/3640457.3688195openalex-snapshot
Does It Look Sequential? An Analysis of Datasets for Evaluation of Sequential Recommendations
inferred← citeshttps://doi.org/10.1145/3663752.3663756openalex-snapshot
Beyond Collaborative Filtering: A Relook at Task Formulation in Recommender Systems
inferred← citeshttps://doi.org/10.1145/3675163openalex-snapshot
Our Model Achieves Excellent Performance on MovieLens: What Does It Mean?
inferred← citeshttps://doi.org/10.1145/3677052.3698683openalex-snapshot
Rolling Forward: Enhancing LightGCN with Causal Graph Convolution for Credit Bond Recommendation
inferred← citeshttps://doi.org/10.1145/3696410.3714738openalex-snapshot
Reducing Symbiosis Bias through Better A/B Tests of Recommendation Algorithms
inferred← citeshttps://doi.org/10.1145/3701716.3717581openalex-snapshot
Improving Out-of-Vocabulary Hashing in Recommendation Systems
inferred← citeshttps://doi.org/10.1145/3705328.3748033openalex-snapshot
Correcting the LogQ Correction: Revisiting Sampled Softmax for Large-Scale Retrieval
inferred← citeshttps://doi.org/10.1145/3705328.3748038openalex-snapshot
Let It Go? Not Quite: Addressing Item Cold Start in Sequential Recommendations with Content-Based Initialization
inferred← citeshttps://doi.org/10.1145/3705328.3748042openalex-snapshot
Disentangling User and Item Sequence Patterns in Sequential Recommendation Data Sets
inferred← citeshttps://doi.org/10.1145/3705328.3748157openalex-snapshot
“We Share Our Code Online”: Why This Is Not Enough to Ensure Reproducibility and Progress in Recommender Systems Research
inferred← citeshttps://doi.org/10.1145/3705328.3748160openalex-snapshot
Impacts of Mainstream-Driven Algorithms on Recommendations for Children Across Domains: A Reproducibility Study
inferred← citeshttps://doi.org/10.1145/3705328.3748164openalex-snapshot
Time to Split: Exploring Data Splitting Strategies for Offline Evaluation of Sequential Recommenders
inferred← citeshttps://doi.org/10.1145/3705328.3759317openalex-snapshot
eSASRec: Enhancing Transformer-based Recommendations in a Modular Fashion
inferred← citeshttps://doi.org/10.1145/3705328.3759329openalex-snapshot
Don't Get Ahead of Yourself: A Critical Study on Data Leakage in Offline Evaluation of Sequential Recommenders
inferred← citeshttps://doi.org/10.1145/3705328.3759331openalex-snapshot
Recommendation Is a Dish Better Served Warm
inferred← citeshttps://doi.org/10.1145/3709026.3709081openalex-snapshot
FNRS-MSC: Federated News Recommender System Integrating Multiple Self-Attention and Convolution
inferred← citeshttps://doi.org/10.1145/3711896.3736985openalex-snapshot
GORACS: Group-level Optimal Transport-guided Coreset Selection for LLM-based Recommender Systems
inferred← citeshttps://doi.org/10.1145/3716393openalex-snapshot
A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems
inferred← citeshttps://doi.org/10.1145/3726302.3729890openalex-snapshot
Addressing Missing Data Issue for Diffusion-based Recommendation
inferred← citeshttps://doi.org/10.1145/3726302.3729893openalex-snapshot
Agentic Feedback Loop Modeling Improves Recommendation and User Simulation
inferred← citeshttps://doi.org/10.1145/3758092openalex-snapshot
Uncovering Recommendation Serendipity with Objective Data-driven Factor Investigation
inferred← citeshttps://doi.org/10.1145/3773038openalex-snapshot
SSD4Rec: A Structured State Space Duality Model for Efficient Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3773078.3831806openalex-snapshot
Codebook-Based Semantic IDs in Generative Recommendation: Enabling Interface, Emerging Bottleneck
inferred← citeshttps://doi.org/10.1145/3773078.3831857openalex-snapshot
We've Already Been There: A Study of Data Leakage in Ephemeral Group Recommender Systems
inferred← citeshttps://doi.org/10.1145/3773078.3841280openalex-snapshot
Your 5-Core Train Split May Not Be 5-Core: Core Filtering and Temporal Splitting Do Not Commute
inferred← citeshttps://doi.org/10.1145/3774904.3792428openalex-snapshot
Diffusion Generative Recommendation with Continuous Tokens
inferred← citeshttps://doi.org/10.1145/3787969openalex-snapshot
An Analysis of Sequential Patterns in Datasets for Evaluation of Sequential Recommendations
inferred← citeshttps://doi.org/10.1145/3793909openalex-snapshot
A Task-Centric Perspective on Recommender Systems
inferred← citeshttps://doi.org/10.1145/3803545openalex-snapshot
Privacy Matters: Data Attack to Make User Preferences Unlearnable in Recommendation
inferred← citeshttps://doi.org/10.1145/3805712.3808631openalex-snapshot
SplitLight: An Exploratory Toolkit for Recommender Systems Datasets and Splits
inferred← citeshttps://doi.org/10.1145/3805712.3809539openalex-snapshot
CATS: Cluster-Aware Thompson Sampling for Negative Mining in Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3816430openalex-snapshot
Point of Interest Recommendation: Pitfalls and Research Directions
inferred← citeshttps://doi.org/10.1145/3818611openalex-snapshot
Towards Multi-Behavior Multi-Task Recommendation via Behavior-Informed Graph Embedding Learning
inferred← citeshttps://doi.org/10.1177/18724981241302803openalex-snapshot
Development status of high performance computing and its role in the construction of television animation sound recommendation System
inferred← citeshttps://doi.org/10.1609/aimag.v42i3.18145openalex-snapshot
Progress in recommender systems research: Crisis? What crisis?
inferred← citeshttps://doi.org/10.32657/10356/173690openalex-snapshot
Impact of temporal context on recommender systems along global timeline
inferred← citeshttps://doi.org/10.3390/app16167976openalex-snapshot
Support-Constrained Conservative Reranking for Personalized Learning Activity Plans Under Temporal Distribution Shift
inferred← citeshttps://doi.org/10.3390/computers14080302openalex-snapshot
Novel Models for the Warm-Up Phase of Recommendation Systems
inferred← citeshttps://doi.org/10.3390/info17040364openalex-snapshot
Mitigating Distribution Shift in Offline RL-Based Recommender Systems with a Q-Learning Regularization Decision Transformer
inferred← citeshttps://doi.org/10.3390/s24134069openalex-snapshot
A Deep Learning-Based Method for Preventing Data Leakage in Electric Power Industrial Internet of Things Business Data Interactions
inferred← citeshttps://doi.org/10.5753/sbbd.2026.249230openalex-snapshot
O Paradoxo da Hibridização: O Impacto da Combinação de Algoritmos na Justiça e no Risco em Sistemas de Recomendação
inferred← citeshttps://doi.org/10.70675/5a618622z91bcz4f6dzacbbz62799d80f912openalex-snapshot
Contributions to Graph Representation Learning and Applications in Financial Markets
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