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Model-Agnostic Counterfactual Explanations of Recommendations

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What this work says

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

inferredcites →https://doi.org/10.1007/978-1-4899-7637-6_10openalex-snapshot

Explaining Recommendations: Design and Evaluation

inferredcites →https://doi.org/10.1007/s10618-011-0215-0openalex-snapshot

A generalized taxonomy of explanations styles for traditional and social recommender systems

inferredcites →https://doi.org/10.1007/s11280-018-0558-1openalex-snapshot

Explainable recommendation with fusion of aspect information

inferredcites →https://doi.org/10.1109/icdew.2007.4401070openalex-snapshot

A Survey of Explanations in Recommender Systems

inferredcites →https://doi.org/10.1145/1297231.1297275openalex-snapshot

Explanations of recommendations

inferredcites →https://doi.org/10.1145/1502650.1502661openalex-snapshot

Tagsplanations

inferredcites →https://doi.org/10.1145/2507157.2507163openalex-snapshot

Hidden factors and hidden topics

inferredcites →https://doi.org/10.1145/2600428.2609579openalex-snapshot

Explicit factor models for explainable recommendation based on phrase-level sentiment analysis

inferredcites →https://doi.org/10.1145/3097983.3098170openalex-snapshot

Aspect Based Recommendations

inferredcites →https://doi.org/10.1145/3109859.3109913openalex-snapshot

Using Explainability for Constrained Matrix Factorization

inferredcites →https://doi.org/10.1145/3178876.3186145openalex-snapshot

Aspect-Aware Latent Factor Model

inferredcites →https://doi.org/10.1145/3178876.3186158openalex-snapshot

Coevolutionary Recommendation Model

inferredcites →https://doi.org/10.1145/3219819.3220072openalex-snapshot

Explanation Mining

inferredcites →https://doi.org/10.1145/3269206.3271739openalex-snapshot

RippleNet

inferredcites →https://doi.org/10.1145/3292500.3330857openalex-snapshot

Incorporating Interpretability into Latent Factor Models via Fast Influence Analysis

inferredcites →https://doi.org/10.1145/3297280.3297443openalex-snapshot

Towards explaining recommendations through local surrogate models

inferredcites →https://doi.org/10.1145/3336191.3371824openalex-snapshot

PRINCE

inferredcites →https://doi.org/10.1145/3351095.3372850openalex-snapshot

Explaining machine learning classifiers through diverse counterfactual explanations

inferredcites →https://doi.org/10.1145/358916.358995openalex-snapshot

Explaining collaborative filtering recommendations

inferredcites →https://doi.org/10.1145/371920.372071openalex-snapshot

Item-based collaborative filtering recommendation algorithms

inferredcites →https://doi.org/10.1561/1500000066openalex-snapshot

Explainable Recommendation: A Survey and New Perspectives

inferredcites →https://doi.org/10.18653/v1/n16-3020openalex-snapshot

“Why Should I Trust You?”: Explaining the Predictions of Any Classifier

inferredcites →https://doi.org/10.48550/arxiv.1802.07938openalex-snapshot

Aspect-Aware Latent Factor Model: Rating Prediction with Ratings and Reviews

inferredcites →https://doi.org/10.48550/arxiv.1811.08120openalex-snapshot

Explaining Latent Factor Models for Recommendation with Influence Functions

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.4669635openalex-extracted

Improving Competitiveness: A Freelancer-Centric Approach for Recommending Reskilling Strategies

inferred← citeshttps://doi.org/10.1007/978-3-031-43427-3_39openalex-snapshot

Prototype-Guided Counterfactual Explanations via Variational Auto-encoder for Recommendation

inferred← citeshttps://doi.org/10.1007/978-3-031-55109-3_3openalex-snapshot

Fairness and Explainability for Enabling Trust in AI Systems

inferred← citeshttps://doi.org/10.1007/978-3-031-61375-3_12openalex-snapshot

Responsible AI

inferred← citeshttps://doi.org/10.1007/978-3-031-69978-8_1openalex-snapshot

Introduction

inferred← citeshttps://doi.org/10.1007/978-3-031-69978-8_2openalex-snapshot

Regulatory Initiatives

inferred← citeshttps://doi.org/10.1007/978-3-031-69978-8_3openalex-snapshot

Biases, Fairness, and Non-discrimination

inferred← citeshttps://doi.org/10.1007/978-3-031-69978-8_4openalex-snapshot

Transparency

inferred← citeshttps://doi.org/10.1007/978-3-031-69978-8_5openalex-snapshot

Privacy and Security

inferred← citeshttps://doi.org/10.1007/978-3-031-69978-8_6openalex-snapshot

Conclusions and Open Challenges

inferred← citeshttps://doi.org/10.1007/978-981-92-0068-9_18openalex-snapshot

Enhancing ACCENT with Causality

inferred← citeshttps://doi.org/10.1007/s10618-022-00906-4openalex-snapshot

Mining Pareto-optimal counterfactual antecedents with a branch-and-bound model-agnostic algorithm

inferred← citeshttps://doi.org/10.1007/s10618-026-01225-8openalex-snapshot

Dual policy-guided multi-hop path reasoning for explainable knowledge graph recommendation

inferred← citeshttps://doi.org/10.1007/s10791-026-09923-zopenalex-snapshot

Emerging trends of recommender system for e-commerce: a comprehensive review

inferred← citeshttps://doi.org/10.1007/s11432-023-3974-2openalex-snapshot

Learning-based counterfactual explanations for recommendation

inferred← citeshttps://doi.org/10.1016/j.simpa.2022.100404openalex-snapshot

XRecSys: A framework for path reasoning quality in explainable recommendation

inferred← citeshttps://doi.org/10.1109/icmi68585.2026.11539924openalex-snapshot

A User-Centric Review and Comparative Analysis of Explainable AI Methods for Social Media Recommender Systems

inferred← citeshttps://doi.org/10.1109/ictai66417.2025.00031openalex-snapshot

Fs-Cx: Generating Personalized Contrastive Explanations for Recommender Systems

inferred← citeshttps://doi.org/10.1109/tkde.2024.3354077openalex-snapshot

Reinforced Path Reasoning for Counterfactual Explainable Recommendation

inferred← citeshttps://doi.org/10.1109/tkde.2024.3373608openalex-snapshot

Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation

inferred← citeshttps://doi.org/10.1111/exsy.70317openalex-snapshot

When the Group Agrees: Explaining Collective Recommendations From Core to Consensus

inferred← citeshttps://doi.org/10.1145/3450614.3462238openalex-snapshot

Interactivity, Fairness and Explanations in Recommendations

inferred← citeshttps://doi.org/10.1145/3477314.3507029openalex-snapshot

Shap-enhanced counterfactual explanations for recommendations

inferred← citeshttps://doi.org/10.1145/3583780.3615181openalex-snapshot

RecRec: Algorithmic Recourse for Recommender Systems

inferred← citeshttps://doi.org/10.1145/3589334.3645560openalex-snapshot

A Counterfactual Framework for Learning and Evaluating Explanations for Recommender Systems

inferred← citeshttps://doi.org/10.1145/3605357openalex-snapshot

A Reusable Model-agnostic Framework for Faithfully Explainable Recommendation and System Scrutability

inferred← citeshttps://doi.org/10.1145/3652891openalex-snapshot

A Survey on Trustworthy Recommender Systems

inferred← citeshttps://doi.org/10.1145/3677119openalex-snapshot

Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review

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/10.1145/3795529openalex-snapshot

Understanding Internal Representations of Recommendation Models with Sparse Autoencoders

inferred← citeshttps://doi.org/10.1145/3839564openalex-snapshot

Measuring What Matters: Consistency and Compactness in Evaluation of Counterfactual Explanations

inferred← citeshttps://doi.org/10.3389/fnins.2025.1732013openalex-snapshot

LLM-based feature selection and counterfactual explanations applied to functional connectivity analysis in schizophrenia

inferred← citeshttps://doi.org/10.70675/de5345e1z9ed3z4064zaaf4zc45a557c0632openalex-snapshot

Generality and explainability in recommender systems

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