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The Problem of Coherence in Natural Language Explanations of Recommendations

https://doi.org/10.3233/faia230482
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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-28954-6_1openalex-snapshot
Towards Explainable Artificial Intelligence
inferredcites →https://doi.org/10.1145/3077136.3080822openalex-snapshot
Neural Rating Regression with Abstractive Tips Generation for Recommendation
inferredcites →https://doi.org/10.1145/3109859.3109890openalex-snapshot
Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction
inferredcites →https://doi.org/10.1145/3340531.3411992openalex-snapshot
Generate Neural Template Explanations for Recommendation
inferredcites →https://doi.org/10.1145/3580488openalex-snapshot
Personalized Prompt Learning for Explainable Recommendation
inferredcites →https://doi.org/10.1561/1500000066openalex-snapshot
Explainable Recommendation: A Survey and New Perspectives
inferredcites →https://doi.org/10.1561/9781680836592openalex-snapshot
Explainable Recommendation: A Survey and New Perspectives
inferredcites →https://doi.org/10.1609/aaai.v32i1.11321openalex-snapshot
RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems
inferredcites →https://doi.org/10.1609/hcomp.v7i1.5280openalex-snapshot
Human Evaluation of Models Built for Interpretability
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.eval4nlp-1.2openalex-snapshot
Validating Label Consistency in NER Data Annotation
inferredcites →https://doi.org/10.18653/v1/d19-1018openalex-snapshot
Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects
inferredcites →https://doi.org/10.18653/v1/e17-1059openalex-snapshot
Learning to Generate Product Reviews from Attributes
inferredcites →https://doi.org/10.3115/v1/d14-1181openalex-snapshot
Convolutional Neural Networks for Sentence Classification
inferredcites →https://doi.org/10.4230/lipics.cosit.2022.18openalex-snapshot
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale
inferredcites →https://doi.org/10.4230/lipics.giscience.2023.43openalex-snapshot
Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics
inferredcites →https://doi.org/10.4230/lipics.itp.2023.19openalex-snapshot
Exploiting Generative AI to Scale up Intelligent Tutoring Systems
inferredcites →https://doi.org/10.48550/arxiv.2005.14165openalex-snapshot
Language Models are Few-Shot Learners
inferredcites →https://doi.org/10.48550/arxiv.2105.11601openalex-snapshot
Personalized Transformer for Explainable Recommendation
inferredcites →https://doi.org/10.48550/arxiv.2209.05409openalex-snapshot
On Faithfulness and Coherence of Language Explanations for Recommendation Systems
inferredcites →https://doi.org/10.52202/068431-1566openalex-snapshot
A Contrastive Framework for Neural Text Generation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-032-21300-6_8openalex-snapshot
Let Me Explain - Knowledge-Based Retrieval Augmented Generation for Agricultural Recommendation Explanations
inferred← citeshttps://doi.org/10.1007/978-981-92-0363-5_29openalex-snapshot
Curr-RLCER: Curriculum Reinforcement Learning for Coherence Explainable Recommendation
inferred← citeshttps://doi.org/10.1007/978-981-92-1465-5_2openalex-snapshot
On the Factual Consistency of Text-Based Explainable Recommendation Models
inferred← citeshttps://doi.org/10.1016/j.ins.2025.122077openalex-snapshot
Knowledge&Social-based collaborative method with contrastive graph structure learning for explainable recommendation
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11463128openalex-snapshot
Dynamic Explainable Recommendation with Multi-Feature and Personalized Test-Time Inference
inferred← citeshttps://doi.org/10.1145/3678004openalex-snapshot
How Can Recommender Systems Benefit from Large Language Models: A Survey
inferred← citeshttps://doi.org/10.1145/3696410.3714583openalex-snapshot
Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation
inferred← citeshttps://doi.org/10.1145/3773078.3831792openalex-snapshot
FASC: A Feature Aspect-Level Sentiment Consistency Framework for Explainable Recommendation Evaluation
inferred← citeshttps://doi.org/10.12677/mos.2025.145370openalex-snapshot
A Hybrid Approach to Explainable Recommendation: Combining Synthetic Coordinate, Kolmogorov-Arnold Network and Transformer
inferred← citeshttps://doi.org/10.12677/orf.2025.152103openalex-snapshot
Explainable Recommendation Algorithms Based on Historical Reviews Feedback Modelling
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