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Explainable Recommender Systems via Resolving Learning Representations

https://doi.org/10.1145/3340531.3411919
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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-01237-3_8openalex-snapshot
Interpretable Basis Decomposition for Visual Explanation
inferredcites →https://doi.org/10.1007/978-3-030-01264-9_42openalex-snapshot
Exploring Visual Relationship for Image Captioning
inferredcites →https://doi.org/10.1016/j.dsp.2017.10.011openalex-snapshot
Methods for interpreting and understanding deep neural networks
inferredcites →https://doi.org/10.1038/s42256-019-0048-xopenalex-snapshot
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
inferredcites →https://doi.org/10.1109/iccv.2017.371openalex-snapshot
Interpretable Explanations of Black Boxes by Meaningful Perturbation
inferredcites →https://doi.org/10.1109/icdm.2010.127openalex-snapshot
Factorization Machines
inferredcites →https://doi.org/10.1109/icdm.2018.00082openalex-snapshot
Towards Interpretation of Recommender Systems with Sorted Explanation Paths
inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot
Matrix Factorization Techniques for Recommender Systems
inferredcites →https://doi.org/10.1109/tpami.2013.50openalex-snapshot
Representation Learning: A Review and New Perspectives
inferredcites →https://doi.org/10.1145/2043932.2043988openalex-snapshot
Matrix factorization techniques for context aware recommendation
inferredcites →https://doi.org/10.1145/2063576.2063676openalex-snapshot
Robust nonnegative matrix factorization using L21-norm
inferredcites →https://doi.org/10.1145/2559169openalex-snapshot
Cost-Aware Collaborative Filtering for Travel Tour Recommendations
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/10.1145/2939672.2939673openalex-snapshot
Collaborative Knowledge Base Embedding for Recommender Systems
inferredcites →https://doi.org/10.1145/2988450.2988454openalex-snapshot
Wide & Deep Learning for Recommender Systems
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3077136.3080777openalex-snapshot
Neural Factorization Machines for Sparse Predictive Analytics
inferredcites →https://doi.org/10.1145/3109859.3109877openalex-snapshot
Sequential User-based Recurrent Neural Network Recommendations
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/10.1145/3219819.3219890openalex-snapshot
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
inferredcites →https://doi.org/10.1145/3219819.3220070openalex-snapshot
Learning Credible Models
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/10.1145/3285029openalex-snapshot
Deep Learning Based Recommender System
inferredcites →https://doi.org/10.1145/3292500.3330836openalex-snapshot
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems
inferredcites →https://doi.org/10.1145/3292500.3330931openalex-snapshot
MCNE
inferredcites →https://doi.org/10.1145/3292500.3330989openalex-snapshot
KGAT
inferredcites →https://doi.org/10.1145/3301275.3308446openalex-snapshot
DARPA's explainable artificial intelligence (XAI) program
inferredcites →https://doi.org/10.1145/3308558.3313417openalex-snapshot
Knowledge Graph Convolutional Networks for Recommender Systems
inferredcites →https://doi.org/10.1145/3308558.3313660openalex-snapshot
Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social Contexts
inferredcites →https://doi.org/10.1145/3331184.3331216openalex-snapshot
A Capsule Network for Recommendation and Explaining What You Like and Dislike
inferredcites →https://doi.org/10.1145/3359786openalex-snapshot
Techniques for interpretable machine learning
inferredcites →https://doi.org/10.1609/aaai.v32i1.11819openalex-snapshot
Interpreting CNN Knowledge via an Explanatory Graph
inferredcites →https://doi.org/10.1609/aaai.v33i01.33015329openalex-snapshot
Explainable Reasoning over Knowledge Graphs for Recommendation
inferredcites →https://doi.org/10.1609/aimag.v40i2.2850openalex-snapshot
DARPA's Explainable Artificial Intelligence Program
inferredcites →https://doi.org/10.1631/fitee.1700808openalex-snapshot
Visual interpretability for deep learning: a survey
inferredcites →https://doi.org/10.18653/v1/d18-1350openalex-snapshot
Investigating Capsule Networks with Dynamic Routing for Text Classification
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/10.24963/ijcai.2018/472openalex-snapshot
Interpretable Recommendation via Attraction Modeling: Learning Multilevel Attractiveness over Multimodal Movie Contents
inferredcites →https://doi.org/10.48550/arxiv.1312.6034openalex-snapshot
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
inferredcites →https://doi.org/10.48550/arxiv.1706.03825openalex-snapshot
SmoothGrad: removing noise by adding noise
inferredcites →https://doi.org/10.48550/arxiv.1910.14238openalex-snapshot
Learning Disentangled Representations for Recommendation
inferredcites →https://doi.org/10.5281/zenodo.16880422openalex-snapshot
Spirit In the Shell: A Mathematically Plausible Pathway from Emotions to Metacognition in Artificial Intelligence Systems

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/10.1007/978-3-030-99739-7_16openalex-snapshot
Identifying Suitable Tasks for Inductive Transfer Through the Analysis of Feature Attributions
inferred← citeshttps://doi.org/10.1007/978-3-031-17849-8_21openalex-snapshot
Causal Disentanglement with Network Information for Debiased Recommendations
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/s42979-026-05361-2openalex-snapshot
A Framework for Accurate Recommendation and Explanation Generation Using Multi-task Learning
inferred← citeshttps://doi.org/10.1016/j.jclepro.2021.129786openalex-snapshot
Techno-economic assessment of building energy efficiency systems using behavioral change: A case study of an edge-based micro-moments solution
inferred← citeshttps://doi.org/10.1038/s41598-023-28766-yopenalex-snapshot
Interpretable patent recommendation with knowledge graph and deep learning
inferred← citeshttps://doi.org/10.1109/dsaa65442.2025.11248000openalex-snapshot
Reasoning with Knowledge Graphs for Trustworthy Course Recommendation
inferred← citeshttps://doi.org/10.1109/iccr67387.2025.11291915openalex-snapshot
Collaborative Filtering Algorithm with Explainability for Personalized Recommendation Systems
inferred← citeshttps://doi.org/10.1109/icde53745.2022.00309openalex-snapshot
Tower Bridge Net (TB-Net): Bidirectional Knowledge Graph Aware Embedding Propagation for Explainable Recommender Systems
inferred← citeshttps://doi.org/10.1109/isse63315.2024.10741116openalex-snapshot
Enhanced Explanations in Recommendation Systems
inferred← citeshttps://doi.org/10.1109/mci.2024.3363984openalex-snapshot
Recent Developments in Recommender Systems: A Survey [Review Article]
inferred← citeshttps://doi.org/10.1145/3539597.3572988openalex-snapshot
Data-Efficient Graph Learning Meets Ethical Challenges
inferred← citeshttps://doi.org/10.1145/3539813.3545120openalex-snapshot
A Tag-Based Post-Hoc Framework for Explainable Conversational Recommendation
inferred← citeshttps://doi.org/10.1145/3577032openalex-snapshot
A Multi-Task Graph Neural Network with Variational Graph Auto-Encoders for Session-Based Travel Packages Recommendation
inferred← citeshttps://doi.org/10.1145/3589335.3648345openalex-snapshot
Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples
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/10.1145/3654806openalex-snapshot
UISA: User Information Separating Architecture for Commodity Recommendation Policy with Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1145/3773078.3831826openalex-snapshot
On the Way to Explainable Course Recommendation: Enriching Graph-Based Modeling with Sequential Signals
inferred← citeshttps://doi.org/10.11591/ijai.v13.i1.pp162-173openalex-snapshot
An approach for explaining group recommendations based on negotiation information
inferred← citeshttps://doi.org/10.20868/upm.thesis.81502openalex-snapshot
Recomendación a grupos de usuarios usando técnicas de aprendizaje profundo
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3710935/v1openalex-snapshot
A Framework for Accurate Recommendations and Explanation Generation Using Multi-Task Learning
inferred← citeshttps://doi.org/10.62762/tscc.2024.898503openalex-snapshot
Recommender System: A Comprehensive Overview of Technical Challenges and Social Implications
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