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Exploring the Landscape of Recommender Systems Evaluation: Practices and Perspectives
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-0716-2197-4_15openalex-snapshot
Evaluating Recommender Systems
inferredcites →https://doi.org/10.1007/978-3-030-90238-4_14openalex-snapshot
Expectation, Perception, and Accuracy in News Recommender Systems: Understanding the Relationships of User Evaluation Criteria Using Direct Feedback
inferredcites →https://doi.org/10.1007/978-3-030-91669-5_6openalex-snapshot
A Qualitative Evaluation of User Preference for Link-Based vs. Text-Based Recommendations of Wikipedia Articles
inferredcites →https://doi.org/10.1007/978-3-642-13287-2openalex-snapshot
Music Recommendation and Discovery
inferredcites →https://doi.org/10.1007/s00799-015-0156-0openalex-snapshot
Research-paper recommender systems: a literature survey
inferredcites →https://doi.org/10.1007/s10115-018-1324-5openalex-snapshot
Meta-analysis of evaluation methods and metrics used in context-aware scholarly recommender systems
inferredcites →https://doi.org/10.1007/s10462-022-10229-xopenalex-snapshot
Evaluating conversational recommender systems
inferredcites →https://doi.org/10.1007/s10791-017-9312-zopenalex-snapshot
Statistical biases in Information Retrieval metrics for recommender systems
inferredcites →https://doi.org/10.1007/s10844-021-00651-yopenalex-snapshot
A sampling approach to Debiasing the offline evaluation of recommender systems
inferredcites →https://doi.org/10.1007/s11192-021-03909-yopenalex-snapshot
An overview and evaluation of citation recommendation models
inferredcites →https://doi.org/10.1007/s11257-011-9115-7openalex-snapshot
Evaluating recommender systems from the user’s perspective: survey of the state of the art
inferredcites →https://doi.org/10.1007/s11257-018-9202-0openalex-snapshot
Coherence and inconsistencies in rating behavior: estimating the magic barrier of recommender systems
inferredcites →https://doi.org/10.1007/s11257-021-09302-xopenalex-snapshot
Improving accountability in recommender systems research through reproducibility
inferredcites →https://doi.org/10.1016/j.bdr.2021.100211openalex-snapshot
A Framework for Evaluating Personalized Ranking Systems by Fusing Different Evaluation Measures
inferredcites →https://doi.org/10.1016/j.ins.2022.07.079openalex-snapshot
Sequential recommendation: A study on transformers, nearest neighbors and sampled metrics
inferredcites →https://doi.org/10.1109/iccv.2015.486openalex-snapshot
Learning Image and User Features for Recommendation in Social Networks
inferredcites →https://doi.org/10.1109/icdm.2012.110openalex-snapshot
Learning Attitudes and Attributes from Multi-aspect Reviews
inferredcites →https://doi.org/10.1109/icdm.2018.00035openalex-snapshot
Self-Attentive Sequential Recommendation
inferredcites →https://doi.org/10.1142/9789813275355_0009openalex-snapshot
Offline and Online Evaluation of Recommendations
inferredcites →https://doi.org/10.1145/1060745.1060754openalex-snapshot
Improving recommendation lists through topic diversification
inferredcites →https://doi.org/10.1145/1864708.1864721openalex-snapshot
Performance of recommender algorithms on top-n recommendation tasks
inferredcites →https://doi.org/10.1145/2532508.2532512openalex-snapshot
Research paper recommender system evaluation
inferredcites →https://doi.org/10.1145/2783258.2783273openalex-snapshot
Collaborative Deep Learning for Recommender Systems
inferredcites →https://doi.org/10.1145/2806416.2806511openalex-snapshot
Improving Latent Factor Models via Personalized Feature Projection for One Class Recommendation
inferredcites →https://doi.org/10.1145/2959100.2959144openalex-snapshot
Past, Present, and Future of Recommender Systems
inferredcites →https://doi.org/10.1145/3077136.3080836openalex-snapshot
A Probabilistic Reformulation of Memory-Based Collaborative Filtering
inferredcites →https://doi.org/10.1145/3159652.3159687openalex-snapshot
Offline A/B Testing for Recommender Systems
inferredcites →https://doi.org/10.1145/3240323.3240355openalex-snapshot
Unbiased offline recommender evaluation for missing-not-at-random implicit feedback
inferredcites →https://doi.org/10.1145/3240323.3240398openalex-snapshot
Decomposing fit semantics for product size recommendation in metric spaces
inferredcites →https://doi.org/10.1145/3289600.3291033openalex-snapshot
Off-Policy Evaluation of Probabilistic Identity Data in Lookalike Modeling
inferredcites →https://doi.org/10.1145/3298689.3347041openalex-snapshot
Performance comparison of neural and non-neural approaches to session-based recommendation
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/10.1145/3308558.3313469openalex-snapshot
How Serendipity Improves User Satisfaction with Recommendations? A Large-Scale User Evaluation
inferredcites →https://doi.org/10.1145/3320435.3320448openalex-snapshot
Are All Rejected Recommendations Equally Bad?
inferredcites →https://doi.org/10.1145/3340531.3412778openalex-snapshot
LensKit for Python: Next-Generation Software for Recommender Systems Experiments
inferredcites →https://doi.org/10.1145/3372923.3404781openalex-snapshot
Off-line vs. On-line Evaluation of Recommender Systems in Small E-commerce
inferredcites →https://doi.org/10.1145/3383313.3412235openalex-snapshot
From the lab to production: A case study of session-based recommendations in the home-improvement domain
inferredcites →https://doi.org/10.1145/3383313.3412257openalex-snapshot
Recommending the Video to Watch Next: An Offline and Online Evaluation at YOUTV.de
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/10.1145/3394486.3403226openalex-snapshot
On Sampled Metrics for Item Recommendation
inferredcites →https://doi.org/10.1145/3394486.3403229openalex-snapshot
Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions
inferredcites →https://doi.org/10.1145/3394486.3403262openalex-snapshot
On Sampling Top-K Recommendation Evaluation
inferredcites →https://doi.org/10.1145/3397271.3401032openalex-snapshot
Measuring Recommendation Explanation Quality
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/10.1145/3404835.3462916openalex-snapshot
Standing in Your Shoes: External Assessments for Personalized Recommender Systems
inferredcites →https://doi.org/10.1145/3404835.3462973openalex-snapshot
New Insights into Metric Optimization for Ranking-based 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/10.1145/3404835.3463249openalex-snapshot
TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime
inferredcites →https://doi.org/10.1145/3434185openalex-snapshot
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research
inferredcites →https://doi.org/10.1145/3447780openalex-snapshot
Critique on Natural Noise in Recommender Systems
inferredcites →https://doi.org/10.1145/3452740openalex-snapshot
Popularity Bias in False-positive Metrics for Recommender Systems Evaluation
inferredcites →https://doi.org/10.1145/3459637.3482006openalex-snapshot
librec-auto: A Tool for Recommender Systems Experimentation
inferredcites →https://doi.org/10.1145/3459637.3482486openalex-snapshot
Open Benchmarking for Click-Through Rate Prediction
inferredcites →https://doi.org/10.1145/3460231.3474231openalex-snapshot
Debiased Off-Policy Evaluation for Recommendation Systems
inferredcites →https://doi.org/10.1145/3460231.3474234openalex-snapshot
Towards Unified Metrics for Accuracy and Diversity for Recommender Systems
inferredcites →https://doi.org/10.1145/3460231.3474245openalex-snapshot
Evaluating the Robustness of Off-Policy Evaluation
inferredcites →https://doi.org/10.1145/3460231.3475943openalex-snapshot
A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models
inferredcites →https://doi.org/10.1145/3472307.3484164openalex-snapshot
Key Qualities of Conversational Recommender Systems: From Users’ Perspective
inferredcites →https://doi.org/10.1145/3477495.3531754openalex-snapshot
iRec: An Interactive Recommendation Framework
inferredcites →https://doi.org/10.1145/3477495.3532033openalex-snapshot
Offline Retrieval Evaluation Without Evaluation Metrics
inferredcites →https://doi.org/10.1145/3486001.3486241openalex-snapshot
A Hybrid Approach for Offline A/B Evaluation for Item Ranking Algorithms in Recommendation Systems
inferredcites →https://doi.org/10.1145/3488560.3498380openalex-snapshot
Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model
inferredcites →https://doi.org/10.1145/3503252.3531292openalex-snapshot
Top-N Recommendation Algorithms: A Quest for the State-of-the-Art
inferredcites →https://doi.org/10.1145/3510409openalex-snapshot
Point-of-Interest Recommender Systems Based on Location-Based Social Networks: A Survey from an Experimental Perspective
inferredcites →https://doi.org/10.1145/3523227.3548485openalex-snapshot
Streaming Session-Based Recommendation: When Graph Neural Networks meet the Neighborhood
inferredcites →https://doi.org/10.1145/3527449openalex-snapshot
Survey on the Objectives of Recommender Systems: Measures, Solutions, Evaluation Methodology, and New Perspectives
inferredcites →https://doi.org/10.1145/3545796openalex-snapshot
A Revisiting Study of Appropriate Offline Evaluation for Top- N Recommendation Algorithms
inferredcites →https://doi.org/10.1145/3556536openalex-snapshot
Evaluating Recommender Systems: Survey and Framework
inferredcites →https://doi.org/10.1145/3557886openalex-snapshot
First Things First? Order Effects in Online Product Recommender Systems
inferredcites →https://doi.org/10.1145/963770.963772openalex-snapshot
Evaluating collaborative filtering recommender systems
inferredcites →https://doi.org/10.1609/aaai.v30i1.9973openalex-snapshot
VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback
inferredcites →https://doi.org/10.1609/aimag.v41i4.5312openalex-snapshot
Escaping the McNamara Fallacy: Toward More Impactful Recommender Systems Research
inferredcites →https://doi.org/10.18653/v1/d19-1018openalex-snapshot
Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects
inferredcites →https://doi.org/10.4018/ijehmc.2020010105openalex-snapshot
Harmonization and Categorization of Metrics and Criteria for Evaluation of Recommender Systems in Healthcare From Dual Perspectives
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.2102.07662openalex-snapshot
Overview of the TREC 2020 deep learning track
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-032-13342-7_11openalex-snapshot
Early Explorations of Recommender Systems for Physical Activity and Well-Being
inferred← citeshttps://doi.org/10.1007/s13198-024-02568-5openalex-snapshot
A data-driven API recommendation approach for service mashup composition
inferred← citeshttps://doi.org/10.1016/j.jjimei.2024.100303openalex-snapshot
A machine learning algorithm for personalized healthy and sustainable grocery product recommendations
inferred← citeshttps://doi.org/10.1109/conisoft66928.2025.00040openalex-snapshot
Software Testing in Recommender Systems: A Systematic Mapping Study
inferred← citeshttps://doi.org/10.1145/3640457.3691704openalex-snapshot
Informed Dataset Selection with ‘Algorithm Performance Spaces’
inferred← citeshttps://doi.org/10.1145/3648398openalex-snapshot
Introduction to the Special Issue on Perspectives on Recommender Systems Evaluation
inferred← citeshttps://doi.org/10.1145/3663752.3663756openalex-snapshot
Beyond Collaborative Filtering: A Relook at Task Formulation in Recommender Systems
inferred← citeshttps://doi.org/10.1145/3705328.3748028openalex-snapshot
Beyond Top-1: Addressing Inconsistencies in Evaluating Counterfactual Explanations for Recommender Systems
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/10.1145/3705328.3748752openalex-snapshot
Are Recommender Systems Serving Children? Toward Child-Aware Design and Evaluation
inferred← citeshttps://doi.org/10.1145/3705328.3748761openalex-snapshot
Recommender Systems for Digital Humanities and Archives: Multistakeholder Evaluation, Scholarly Information Needs, and Multimodal Similarity
inferred← citeshttps://doi.org/10.1145/3705328.3759321openalex-snapshot
The Hidden Cost of Defaults in Recommender System Evaluation
inferred← citeshttps://doi.org/10.1145/3705328.3759342openalex-snapshot
APS Explorer: Navigating Algorithm Performance Spaces for Informed Dataset Selection
inferred← citeshttps://doi.org/10.1145/3773078.3831717openalex-snapshot
Methodology First: Rethinking Research Assessment in RecSys (FRAME)
inferred← citeshttps://doi.org/10.1145/3773078.3841276openalex-snapshot
FINALLY: A Dataset Recommender for RecSys Experiments
inferred← citeshttps://doi.org/10.1145/3794786.3830753openalex-snapshot
Towards a Methodology to Assess the Impact of LLMs on Recommendations
inferred← citeshttps://doi.org/10.1145/3805712.3808369openalex-snapshot
RecNextEval: A Reference Implementation for Temporal Next-Batch Recommendation Evaluation
inferred← citeshttps://doi.org/10.1145/3805712.3809584openalex-snapshot
Minimal-Perturbation Counterfactuals through Guided Denoising Diffusion for Recommender Systems Explanation
inferred← citeshttps://doi.org/10.1145/3828550openalex-snapshot
Conformal@K: Distribution-Free Top-K Miss-Risk Control for Recommendation with Overlapping-Group and Two-Stage Guarantees
inferred← citeshttps://doi.org/10.1145/3831686openalex-snapshot
Reproducibility in Recommender Systems: A Survey
inferred← citeshttps://doi.org/10.1145/3839564openalex-snapshot
Measuring What Matters: Consistency and Compactness in Evaluation of Counterfactual Explanations
inferred← citeshttps://doi.org/10.1177/20539517251340635openalex-snapshot
From static to dynamic evaluation: The potentials and challenges of dashboards to account for NRSs
inferred← citeshttps://doi.org/10.3389/fdata.2024.1505284openalex-snapshot
On explaining recommendations with Large Language Models: a review
inferred← citeshttps://doi.org/10.5937/imcsm26121bopenalex-snapshot
An AI-based recommender system for omnichannel retail campaign planning: Concept and prototype
inferred← citeshttps://doi.org/10.69693/ijmst.v4i3.13272openalex-snapshot
Sistem Rekomendasi Produk Fitness dan Olahraga Berbasis Content-Based Filtering Menggunakan Doc2vec dan Cosine Similarity
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