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User Perception of Recommendation Explanation: Are Your Explanations What Users Need?
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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/s11257-008-9051-3openalex-snapshot
The effects of transparency on trust in and acceptance of a content-based art recommender
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/s11257-011-9117-5openalex-snapshot
Evaluating the effectiveness of explanations for recommender systems
inferredcites →https://doi.org/10.1007/s11257-017-9195-0openalex-snapshot
A systematic review and taxonomy of explanations in decision support and recommender systems
inferredcites →https://doi.org/10.1007/s11280-021-00913-3openalex-snapshot
Attribute-aware explainable complementary clothing recommendation
inferredcites →https://doi.org/10.1016/j.ijhcs.2013.12.007openalex-snapshot
How should I explain? A comparison of different explanation types for recommender systems
inferredcites →https://doi.org/10.1080/10447318.2017.1357904openalex-snapshot
Exploring Explanation Effects on Consumers’ Trust in Online Recommender Agents
inferredcites →https://doi.org/10.1109/cec-eee.2006.14openalex-snapshot
An Empirical Study on Consumer Behavior in the Interaction with Knowledge-based Recommender Applications
inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot
Matrix Factorization Techniques for Recommender Systems
inferredcites →https://doi.org/10.1109/tkde.2022.3142260openalex-snapshot
Knowledge Enhanced Graph Neural Networks for Explainable Recommendation
inferredcites →https://doi.org/10.1109/tkde.2022.3146178openalex-snapshot
Joint Reason Generation and Rating Prediction for Explainable Recommendation
inferredcites →https://doi.org/10.1145/1111449.1111475openalex-snapshot
Trust building with explanation interfaces
inferredcites →https://doi.org/10.1145/2507157.2507163openalex-snapshot
Hidden factors and hidden topics
inferredcites →https://doi.org/10.1145/2533670.2533675openalex-snapshot
Human Decision Making and Recommender Systems
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/10.1145/2959100.2959153openalex-snapshot
Crowd-Based Personalized Natural Language Explanations for Recommendations
inferredcites →https://doi.org/10.1145/3109859.3109913openalex-snapshot
Using Explainability for Constrained Matrix Factorization
inferredcites →https://doi.org/10.1145/3109859.3109915openalex-snapshot
User Preferences for Hybrid Explanations
inferredcites →https://doi.org/10.1145/3172944.3173012openalex-snapshot
Explaining Recommendations Using Contexts
inferredcites →https://doi.org/10.1145/3178876.3186070openalex-snapshot
Neural Attentional Rating Regression with Review-level Explanations
inferredcites →https://doi.org/10.1145/3301275.3302274openalex-snapshot
The effect of explanations and algorithmic accuracy on visual recommender systems of artistic images
inferredcites →https://doi.org/10.1145/3301275.3302306openalex-snapshot
Personalized explanations for hybrid recommender systems
inferredcites →https://doi.org/10.1145/3308558.3313607openalex-snapshot
Jointly Learning Explainable Rules for Recommendation with Knowledge Graph
inferredcites →https://doi.org/10.1145/3320435.3320457openalex-snapshot
Justifying Recommendations through Aspect-based Sentiment Analysis of Users Reviews
inferredcites →https://doi.org/10.1145/3340531.3411992openalex-snapshot
Generate Neural Template Explanations for Recommendation
inferredcites →https://doi.org/10.1145/3340531.3412778openalex-snapshot
LensKit for Python: Next-Generation Software for Recommender Systems Experiments
inferredcites →https://doi.org/10.1145/3383313.3412230openalex-snapshot
Explainable Recommendation for Repeat Consumption
inferredcites →https://doi.org/10.1145/3386392.3399302openalex-snapshot
Effects of Argumentative Explanation Types on the Perception of Review-Based Recommendations
inferredcites →https://doi.org/10.1145/3397271.3401032openalex-snapshot
Measuring Recommendation Explanation Quality
inferredcites →https://doi.org/10.1145/3404835.3462847openalex-snapshot
User-Centric Path Reasoning towards Explainable Recommendation
inferredcites →https://doi.org/10.1145/3404835.3462939openalex-snapshot
ReXPlug: Explainable Recommendation using Plug-and-Play Language Model
inferredcites →https://doi.org/10.1145/3437963.3441762openalex-snapshot
Temporal Meta-path Guided Explainable Recommendation
inferredcites →https://doi.org/10.1145/3459637.3481962openalex-snapshot
You Are What and Where You Are
inferredcites →https://doi.org/10.1145/3459637.3482420openalex-snapshot
Counterfactual Explainable Recommendation
inferredcites →https://doi.org/10.1145/3460231.3474240openalex-snapshot
EX3: Explainable Attribute-aware Item-set Recommendations
inferredcites →https://doi.org/10.1145/3460231.3474274openalex-snapshot
Debiased Explainable Pairwise Ranking from Implicit Feedback
inferredcites →https://doi.org/10.1145/3485447.3511937openalex-snapshot
Path Language Modeling over Knowledge Graphsfor Explainable Recommendation
inferredcites →https://doi.org/10.1145/3488560.3498515openalex-snapshot
Reinforcement Learning over Sentiment-Augmented Knowledge Graphs towards Accurate and Explainable Recommendation
inferredcites →https://doi.org/10.1145/3511019openalex-snapshot
KR-GCN: Knowledge-Aware Reasoning with Graph Convolution Network for Explainable Recommendation
inferredcites →https://doi.org/10.1145/3531267openalex-snapshot
Time-aware Path Reasoning on Knowledge Graph for Recommendation
inferredcites →https://doi.org/10.1145/358916.358995openalex-snapshot
Explaining collaborative filtering recommendations
inferredcites →https://doi.org/10.1145/506443.506619openalex-snapshot
The role of transparency in recommender systems
inferredcites →https://doi.org/10.1561/9781680836592openalex-snapshot
Explainable Recommendation: A Survey and New Perspectives
inferredcites →https://doi.org/10.1609/aaai.v33i01.33013622openalex-snapshot
Explainable Recommendation through Attentive Multi-View Learning
inferredcites →https://doi.org/10.1609/aaai.v33i01.33015329openalex-snapshot
Explainable Reasoning over Knowledge Graphs for Recommendation
inferredcites →https://doi.org/10.1609/aimag.v32i3.2365openalex-snapshot
A Taxonomy for Generating Explanations in Recommender Systems
inferredcites →https://doi.org/10.1609/hcomp.v2i1.13161openalex-snapshot
A Crowd of Your Own: Crowdsourcing for On-Demand Personalization
inferredcites →https://doi.org/10.18653/v1/2021.acl-long.383openalex-snapshot
Personalized Transformer for Explainable Recommendation
inferredcites →https://doi.org/10.18653/v1/2021.naacl-main.245openalex-snapshot
Faithfully Explainable Recommendation via Neural Logic Reasoning
inferredcites →https://doi.org/10.2307/25148760openalex-snapshot
The Effects of Personalization and Familiarity on Trust and Adoption of Recommendation Agents1
inferredcites →https://doi.org/10.48550/arxiv.2104.07869openalex-snapshot
Faithfully Explainable Recommendation via Neural Logic Reasoning
inferredcites →https://doi.org/10.48550/arxiv.2105.11601openalex-snapshot
Personalized Transformer for Explainable Recommendation
inferredcites →https://doi.org/10.48550/arxiv.2202.06466openalex-snapshot
Measuring "Why" in Recommender Systems: a Comprehensive Survey on the Evaluation of Explainable Recommendation
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-60012-8_17openalex-snapshot
A Survey on Explainable Course Recommendation Systems
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_6openalex-snapshot
Conclusions and Open Challenges
inferred← citeshttps://doi.org/10.1007/978-3-032-39892-5_45openalex-snapshot
Faithfulness in Black-Box LLM-Based Recommender Systems’ Explanations
inferred← citeshttps://doi.org/10.1007/s10796-026-10716-4openalex-snapshot
Effects of Explanations in Human-AI Interaction: A Systematic Review and Framework for Future Research on Explainable AI
inferred← citeshttps://doi.org/10.1080/10447318.2023.2278933openalex-snapshot
Recommendations with Benefits: Exploring Explanations in Information Sharing Recommender Systems for Temporary Teams
inferred← citeshttps://doi.org/10.1080/10447318.2026.2623219openalex-snapshot
Beyond Chat: A Design Strategy for Enhancing Alignment Between User Requirements and AI Support in Online Decision-Making
inferred← citeshttps://doi.org/10.1109/icetics69505.2026.11651282openalex-snapshot
Explaining AI Recommendations in Decision Dashboards: Effects of Explanation Quality on Adoption Intention Among SME Users in the Mekong Delta, Vietnam
inferred← citeshttps://doi.org/10.1109/iciss66954.2025.11389255openalex-snapshot
AI-Driven Digital Learning Recognition: Evaluating User Perceptions of Beedik Implementation
inferred← citeshttps://doi.org/10.1109/icsadl67539.2026.11451856openalex-snapshot
The Role of Recommender Systems in Everyday Life
inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11227420openalex-snapshot
Multimodal enhanced Explainable Recommendation with Contrastive Learning
inferred← citeshttps://doi.org/10.1109/tetci.2025.3567604openalex-snapshot
Explainability, Robustness, and Fairness in User-Centric Intelligent Systems: A Systematic Review
inferred← citeshttps://doi.org/10.1109/tkde.2024.3486326openalex-snapshot
Explainable Session-Based Recommendation via Path Reasoning
inferred← citeshttps://doi.org/10.1145/3604915.3610656openalex-snapshot
Introducing LensKit-Auto, an Experimental Automated Recommender System (AutoRecSys) Toolkit
inferred← citeshttps://doi.org/10.1145/3626772.3657735openalex-snapshot
On the Negative Perception of Cross-domain Recommendations and Explanations
inferred← citeshttps://doi.org/10.1145/3631700.3664915openalex-snapshot
Balanced Explanations in Recommender Systems
inferred← citeshttps://doi.org/10.1145/3637873openalex-snapshot
Using Neural and Graph Neural Recommender Systems to Overcome Choice Overload: Evidence From a Music Education Platform
inferred← citeshttps://doi.org/10.1145/3638530.3664156openalex-snapshot
Explaining Session-based Recommendations using Grammatical Evolution
inferred← citeshttps://doi.org/10.1145/3640457.3688075openalex-snapshot
Large Language Models as Evaluators for Recommendation Explanations
inferred← citeshttps://doi.org/10.1145/3640543.3645171openalex-snapshot
Leveraging ChatGPT for Automated Human-centered Explanations in Recommender Systems
inferred← citeshttps://doi.org/10.1145/3705328.3748758openalex-snapshot
Beyond Persuasion: Adaptive Warnings and Balanced Explanations for Informed Decision-Making in Recommender Systems
inferred← citeshttps://doi.org/10.1145/3711856openalex-snapshot
Domain Counterfactual Data Augmentation for Explainable Recommendation
inferred← citeshttps://doi.org/10.1145/3742413.3789165openalex-snapshot
Explanation Driving Exploration: Aligning Conversational Recommender Systems with Users' Exploratory Information Needs
inferred← citeshttps://doi.org/10.1145/3772318.3791240openalex-snapshot
Beyond Precision: Understanding the Impact of Algorithmic Accuracy and Transparency on User Perceptions in Keyword-Driven Contextual Advertising
inferred← citeshttps://doi.org/10.1145/3773078.3831820openalex-snapshot
When attention is bounded, structure matters: personalizing recommendation explanations under time constraints
inferred← citeshttps://doi.org/10.1145/3774935.3806179openalex-snapshot
Visual or Textual: Effects of Explanation Format and Personal Characteristics on the Perception of Explanations in an Educational Recommender System
inferred← citeshttps://doi.org/10.1145/3774935.3806787openalex-snapshot
Productively Wrong: How Auditing Open Profiles Enhances Interest Awareness and Reflection in Movie Recommenders
inferred← citeshttps://doi.org/10.1145/3779059openalex-snapshot
User Perceptions of Personalized and Generic Explanations in LLM-Driven Recommender Systems
inferred← citeshttps://doi.org/10.1145/3820245openalex-snapshot
What Makes an Explanation Good: A Systematic Review Examining Recommender System Explanations from User Perspective
inferred← citeshttps://doi.org/10.1145/3856207openalex-snapshot
The Impact of Explanation Characteristics on the Effects of Recommender Systems Explanations
inferred← citeshttps://doi.org/10.1186/s40691-026-00464-zopenalex-snapshot
Llm-generated content-based explanations for user experience in fashion recommender systems
inferred← citeshttps://doi.org/10.1515/icom-2025-0018openalex-snapshot
What kind of technology transparency do users appreciate? Comparison of textual and graphic cues in app design
inferred← citeshttps://doi.org/10.1609/aaai.v38i8.28777openalex-snapshot
Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward
inferred← citeshttps://doi.org/10.2139/ssrn.6172315openalex-snapshot
The Illusion of Explanatory Depth in Generative AI: Miscalibration, User Profiles, and the Persistence of Retrieval-Based Mental Models
inferred← citeshttps://doi.org/10.29049/rjcc.2026.34.2.223openalex-snapshot
Usage intention toward size recommendation services
inferred← citeshttps://doi.org/10.3389/fdata.2024.1505284openalex-snapshot
On explaining recommendations with Large Language Models: a review
inferred← citeshttps://doi.org/10.3390/digital6010001openalex-snapshot
Ethical Consumer Attitudes and Trust in Artificial Intelligence in the Digital Marketplace: An Empirical Analysis of Behavioral and Value-Driven Determinants
inferred← citeshttps://doi.org/10.56566/amplitudo.v5i1.508openalex-snapshot
Investigation of AR and VR Technologies in Plant Physiology Education: Assessment of Student Motivation and Preliminary Comprehension
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