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Quality Metrics in Recommender Systems: Do We Calculate Metrics Consistently?
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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/s10791-020-09371-3openalex-snapshot
Offline evaluation options for recommender systems
inferredcites →https://doi.org/10.1016/s0031-3203(96)00142-2openalex-snapshot
The use of the area under the ROC curve in the evaluation of machine learning algorithms
inferredcites →https://doi.org/10.1109/icdm.2011.134openalex-snapshot
SLIM: Sparse Linear Methods for Top-N Recommender Systems
inferredcites →https://doi.org/10.1145/2556195.2556259openalex-snapshot
Personalized entity recommendation
inferredcites →https://doi.org/10.1145/2783258.2783273openalex-snapshot
Collaborative Deep Learning for Recommender Systems
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3097983.3098077openalex-snapshot
Collaborative Variational Autoencoder for Recommender Systems
inferredcites →https://doi.org/10.1145/3159652.3159687openalex-snapshot
Offline A/B Testing for Recommender Systems
inferredcites →https://doi.org/10.1145/3178876.3186150openalex-snapshot
Variational Autoencoders for Collaborative Filtering
inferredcites →https://doi.org/10.1145/3178876.3186154openalex-snapshot
Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking
inferredcites →https://doi.org/10.1145/3209978.3209991openalex-snapshot
Collaborative Memory Network for Recommendation Systems
inferredcites →https://doi.org/10.1145/3219819.3219965openalex-snapshot
Leveraging Meta-path based Context for Top- N Recommendation with A Neural Co-Attention Model
inferredcites →https://doi.org/10.1145/3240323.3240343openalex-snapshot
Spectral collaborative filtering
inferredcites →https://doi.org/10.1145/3298689openalex-snapshot
Proceedings of the 13th ACM Conference on Recommender Systems
inferredcites →https://doi.org/10.1145/3298689.3347058openalex-snapshot
Are we really making much progress? A worrying analysis of recent neural recommendation approaches
inferredcites →https://doi.org/10.1145/3308558.3313710openalex-snapshot
Embarrassingly Shallow Autoencoders for Sparse Data
inferredcites →https://doi.org/10.1145/3341105openalex-snapshot
Proceedings of the 35th Annual ACM Symposium on Applied Computing
inferredcites →https://doi.org/10.1145/3341105.3375759openalex-snapshot
Debiased offline evaluation of recommender systems
inferredcites →https://doi.org/10.1145/3343413openalex-snapshot
Proceedings of the 2020 Conference on Human Information Interaction and Retrieval
inferredcites →https://doi.org/10.1145/3383313.3411524openalex-snapshot
BETA-Rec: Build, Evaluate and Tune Automated Recommender Systems
inferredcites →https://doi.org/10.1145/3383313.3412259openalex-snapshot
On Target Item Sampling in Offline Recommender System Evaluation
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/10.1145/3394486.3403262openalex-snapshot
On Sampling Top-K Recommendation Evaluation
inferredcites →https://doi.org/10.1145/3404835.3463245openalex-snapshot
Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
inferredcites →https://doi.org/10.1145/3434185openalex-snapshot
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research
inferredcites →https://doi.org/10.1145/3459637.3482016openalex-snapshot
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms
inferredcites →https://doi.org/10.1145/3569930openalex-snapshot
A Critical Study on Data Leakage in Recommender System Offline Evaluation
inferredcites →https://doi.org/10.1145/963770.963776openalex-snapshot
Item-based top- N recommendation algorithms
inferredcites →https://doi.org/10.24963/ijcai.2017/447openalex-snapshot
Deep Matrix Factorization Models for Recommender Systems
inferredcites →https://doi.org/10.24963/ijcai.2018/308openalex-snapshot
Outer Product-based Neural Collaborative Filtering
inferredcites →https://doi.org/10.24963/ijcai.2018/462openalex-snapshot
DELF: A Dual-Embedding based Deep Latent Factor Model for Recommendation
inferredcites →https://doi.org/10.24963/ijcai.2018/509openalex-snapshot
CoupledCF: Learning Explicit and Implicit User-item Couplings in Recommendation for Deep Collaborative Filtering
inferredcites →https://doi.org/10.48550/arxiv.1905.01395openalex-snapshot
On the Difficulty of Evaluating Baselines: A Study on Recommender Systems
inferredcites →https://doi.org/10.48550/arxiv.1909.12799openalex-snapshot
How robust is MovieLens? A dataset analysis for recommender systems
inferredcites →https://doi.org/10.48550/arxiv.2010.12470openalex-snapshot
A Practical Guide of Off-Policy Evaluation for Bandit Problems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Reusable Self-attention-Based Recommender System for Fashion
inferred← citeshttps://doi.org/10.1007/978-3-031-35507-3_53openalex-snapshot
Predicting Points of Interest with Social Relations and Geographical-Temporal Information
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SenAgriPreci: Improving Precision Agricultural Yields Through a Crop Recommender System
inferred← citeshttps://doi.org/10.1007/978-3-032-14099-9_23openalex-snapshot
HERAG: A Holistic Approach for Evaluating Organizational RAG Applications
inferred← citeshttps://doi.org/10.1007/978-3-032-21321-1_52openalex-snapshot
FoodNexus: Massive Food Knowledge for Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-032-39892-5_25openalex-snapshot
Memory-Aware Multi-agent Architecture with LLM-Based Orchestration for Conversational Recommendation
inferred← citeshttps://doi.org/10.1007/978-981-95-7394-3_7openalex-snapshot
Recommending the Right Recommender System Software: A Practical Guide
inferred← citeshttps://doi.org/10.1007/978-981-96-4291-5_15openalex-snapshot
RAPID: Retrieval-Augmented Parallel Inference Drafting for Text-Based Video Event Retrieval
inferred← citeshttps://doi.org/10.1007/s44248-026-00106-1openalex-snapshot
Geospatial-based location-aware recommendation of banking services in the world of big data
inferred← citeshttps://doi.org/10.1016/j.aei.2025.103317openalex-snapshot
Reliable recommendations for CCTV sewer inspections through multi-label image classification
inferred← citeshttps://doi.org/10.1016/j.infsof.2024.107603openalex-snapshot
Dynamic robustness evaluation for automated model selection in operation
inferred← citeshttps://doi.org/10.1016/j.infsof.2025.107940openalex-snapshot
LocVul: Line-level vulnerability localization based on a Sequence-to-Sequence approach
inferred← citeshttps://doi.org/10.1038/s41598-025-86416-xopenalex-snapshot
Dual intent view contrastive learning for knowledge aware recommender systems
inferred← citeshttps://doi.org/10.1038/s41746-023-00879-8openalex-snapshot
The shaky foundations of large language models and foundation models for electronic health records
inferred← citeshttps://doi.org/10.1080/20421338.2025.2585128openalex-snapshot
GeoHostel : Location-based recommendation of hostels in the context of higher education through geospatial technology
inferred← citeshttps://doi.org/10.1109/access.2023.3249356openalex-snapshot
Comparison of Real-Time and Batch Job Recommendations
inferred← citeshttps://doi.org/10.1109/bdai66031.2025.11325185openalex-snapshot
MTGRec: A Novel Sequential Recommendation based on Multi-modal Temporal Graph
inferred← citeshttps://doi.org/10.1109/codit70676.2026.11631067openalex-snapshot
Exploration on Demand: From Algorithmic Control to User Empowerment
inferred← citeshttps://doi.org/10.1109/cvprw63382.2024.00427openalex-snapshot
Federated Hyperparameter Optimization through Reward-Based Strategies: Challenges and Insights
inferred← citeshttps://doi.org/10.1109/iccv51070.2023.01831openalex-snapshot
Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond
inferred← citeshttps://doi.org/10.1109/icdm59182.2024.00074openalex-snapshot
An Explainable Recommender System by Integrating Graph Neural Networks and User Reviews
inferred← citeshttps://doi.org/10.1109/icmlt69916.2026.11688873openalex-snapshot
Cause-Aware Collaborative Ranking: Resolving Rating-Review Dissonance Through LLM-Based Attribution of External Factors
inferred← citeshttps://doi.org/10.1109/icodsa67155.2025.11157454openalex-snapshot
Word2Vec-Based Facial Serum Recommender System
inferred← citeshttps://doi.org/10.1109/imitec60221.2024.10851124openalex-snapshot
A Review of Evaluation Metrics Algorithmic Used in Scholarly Research Recommender System
inferred← citeshttps://doi.org/10.1109/mipro70003.2026.11591622openalex-snapshot
Evaluation of algorithms for data-driven recommendation systems
inferred← citeshttps://doi.org/10.1145/3523227.3547380openalex-snapshot
Translating the Public Service Media Remit into Metrics and Algorithms
inferred← citeshttps://doi.org/10.1145/3539618.3591931openalex-snapshot
Take a Fresh Look at Recommender Systems from an Evaluation Standpoint
inferred← citeshttps://doi.org/10.1145/3556536openalex-snapshot
Evaluating Recommender Systems: Survey and Framework
inferred← citeshttps://doi.org/10.1145/3583780.3614980openalex-snapshot
Multi-Representation Variational Autoencoder via Iterative Latent Attention and Implicit Differentiation
inferred← citeshttps://doi.org/10.1145/3604915.3609495openalex-snapshot
On Challenges of Evaluating Recommender Systems in an Offline Setting
inferred← citeshttps://doi.org/10.1145/3629171openalex-snapshot
On Item-Sampling Evaluation for Recommender System
inferred← citeshttps://doi.org/10.1145/3630106.3658926openalex-snapshot
Diversity of What? On the Different Conceptualizations of Diversity in Recommender Systems
inferred← citeshttps://doi.org/10.1145/3637528.3671655openalex-snapshot
From Variability to Stability: Advancing RecSys Benchmarking Practices
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/10.1145/3640457.3691701openalex-snapshot
RePlay: a Recommendation Framework for Experimentation and Production Use
inferred← citeshttps://doi.org/10.1145/3640820openalex-snapshot
Group Validation in Recommender Systems: Framework for Multi-layer Performance Evaluation
inferred← citeshttps://doi.org/10.1145/3701551.3703558openalex-snapshot
VARIUM: Variational Autoencoder for Multi-Interest Representation with Inter-User Memory
inferred← citeshttps://doi.org/10.1145/3705328.3748034openalex-snapshot
Not One News Recommender To Fit Them All: How Different Recommender Strategies Serve Various User Segments
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/10.1145/3706598.3714045openalex-snapshot
EvAlignUX: Advancing UX Evaluation through LLM-Supported Metrics Exploration
inferred← citeshttps://doi.org/10.1145/3710940openalex-snapshot
Bridging Expertise: Doctor Recommendations for Cross-Disciplinary Collaborations in Online Medical Consultations
inferred← citeshttps://doi.org/10.1145/3726302.3730199openalex-snapshot
From Monolith to Mosaic: Uncovering Behavioral Differences for Choice Models in Recommender Systems Simulations
inferred← citeshttps://doi.org/10.1145/3728373openalex-snapshot
Recall, Robustness, and Lexicographic Evaluation
inferred← citeshttps://doi.org/10.1145/3744916.3787798openalex-snapshot
Multi-Location Software Model Completion
inferred← citeshttps://doi.org/10.1145/3770855.3818176openalex-snapshot
Text-Guided Visual Representation Learning for Robust Multimodal E-Commerce Recommendation
inferred← citeshttps://doi.org/10.1145/3773078.3831854openalex-snapshot
Continuous Automated Reproducibility
inferred← citeshttps://doi.org/10.1145/3778173openalex-snapshot
Welcome to the Metrics Jungle: Organizational Stakeholder Perspectives on Evaluation of News Recommender Systems in Industry
inferred← citeshttps://doi.org/10.1145/3787969openalex-snapshot
An Analysis of Sequential Patterns in Datasets for Evaluation of Sequential Recommendations
inferred← citeshttps://doi.org/10.1145/3800587openalex-snapshot
Improving Methodological Standards in Recommender Systems Offline Evaluation
inferred← citeshttps://doi.org/10.1145/3808222openalex-snapshot
Adopting State-of-the-Art Pretrained Audio Representations for Music Recommender Systems
inferred← citeshttps://doi.org/10.1145/3821220openalex-snapshot
VARIUM+: Semantic Expert-Structured Memory-Augmented Variational Autoencoder for Multi-Interest Recommendation
inferred← citeshttps://doi.org/10.1155/2024/9015012openalex-snapshot
Geo-Insurance: Improving Big Data Challenges in the Context of Insurance Services Using a Geographical Information System (GIS)
inferred← citeshttps://doi.org/10.1186/s43067-026-00354-wopenalex-snapshot
Monitoring and analysing student attentiveness in traditional classrooms through computational intelligence
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Auxiliary self-supervision to metric learning for music similarity-based retrieval and auto-tagging
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Exploring the Impact of Hybrid Recommender Systems on Personalized Mental Health Recommendations
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Learning edge importance in bipartite graph-based recommendations
inferred← citeshttps://doi.org/10.3390/electronics13153049openalex-snapshot
Job Recommendations: Benchmarking of Collaborative Filtering Methods for Classifieds
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An Explainable Collaborative Recommendation Framework Using K-Means Clustering and LLM-Based Explanations
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