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Knowledge-aware Autoencoders for Explainable Recommender Systems

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What this work says

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

inferredcites →https://doi.org/10.1007/978-0-387-85820-3_15openalex-snapshot

Designing and Evaluating Explanations for Recommender Systems

inferredcites →https://doi.org/10.1007/978-1-4899-7637-6_4openalex-snapshot

Semantics-Aware Content-Based Recommender Systems

inferredcites →https://doi.org/10.1007/978-1-4899-7637-6_9openalex-snapshot

Evaluating Recommender Systems with User Experiments

inferredcites →https://doi.org/10.1007/s11257-011-9117-5openalex-snapshot

Evaluating the effectiveness of explanations for recommender systems

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

A Survey of Explanations in Recommender Systems

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

Tagsplanations

inferredcites →https://doi.org/10.1145/1639714.1639777openalex-snapshot

MoviExplain

inferredcites →https://doi.org/10.1145/2362499.2362501openalex-snapshot

Linked open data to support content-based 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/10.1145/2740908.2742726openalex-snapshot

AutoRec

inferredcites →https://doi.org/10.1145/2783258.2783273openalex-snapshot

Collaborative Deep Learning for Recommender Systems

inferredcites →https://doi.org/10.1145/2926718openalex-snapshot

Sound and Music Recommendation with Knowledge Graphs

inferredcites →https://doi.org/10.1145/2959100.2959173openalex-snapshot

ExpLOD

inferredcites →https://doi.org/10.1145/3019612.3019837openalex-snapshot

Schema-summarization in linked-data-based feature selection for recommender systems

inferredcites →https://doi.org/10.1145/3125486.3125496openalex-snapshot

Auto-Encoding User Ratings via Knowledge Graphs in Recommendation Scenarios

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/10.1609/aaai.v31i1.10747openalex-snapshot

A Hybrid Collaborative Filtering Model with Deep Structure for Recommender Systems

inferredcites →https://doi.org/10.48550/arxiv.1606.07129openalex-snapshot

Explainable Restricted Boltzmann Machines for Collaborative Filtering

inferredcites →https://doi.org/10.48550/arxiv.1611.00454openalex-snapshot

Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks

inferredcites →https://doi.org/10.48550/arxiv.1807.05006openalex-snapshot

Computing recommendations via a Knowledge Graph-aware Autoencoder

inferredcites →https://doi.org/10.7551/mitpress/1120.001.0001openalex-snapshot

Advances in Neural Information Processing Systems 14

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/10.1002/cpe.6834openalex-snapshot

A survey on effects of adding explanations to recommender systems

inferred← citeshttps://doi.org/10.1007/978-3-031-06981-9_16openalex-snapshot

Hierarchical Topic Modelling for Knowledge Graphs

inferred← citeshttps://doi.org/10.1007/978-3-031-14862-0_17openalex-snapshot

On Explainability in AI-Solutions: A Cross-Domain Survey

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/s10115-023-01906-6openalex-snapshot

Recommender Systems in Cybersecurity

inferred← citeshttps://doi.org/10.1007/s10844-023-00830-zopenalex-snapshot

A qualitative analysis of knowledge graphs in recommendation scenarios through semantics-aware autoencoders

inferred← citeshttps://doi.org/10.1007/s10994-026-07160-5openalex-snapshot

Cortex: A Retrieval-Augmented Framework for Career-Aligned Learning Paths

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.inffus.2019.12.012openalex-snapshot

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

inferred← citeshttps://doi.org/10.1108/intr-08-2020-0471openalex-snapshot

Interpretable video tag recommendation with multimedia deep learning framework

inferred← citeshttps://doi.org/10.1109/access.2019.2934633openalex-snapshot

Mining Semantic Knowledge Graphs to Add Explainability to Black Box Recommender Systems

inferred← citeshttps://doi.org/10.1109/access.2019.2953308openalex-snapshot

Semantics-Aware Autoencoder

inferred← citeshttps://doi.org/10.1109/dsaa65442.2025.11248000openalex-snapshot

Reasoning with Knowledge Graphs for Trustworthy Course Recommendation

inferred← citeshttps://doi.org/10.1109/tkde.2019.2953157openalex-snapshot

Neural Attention Frameworks for Explainable Recommendation

inferred← citeshttps://doi.org/10.1111/exsy.12991openalex-snapshot

A user study with aspect‐based sentiment analysis for similarity of items in content‐based recommendations

inferred← citeshttps://doi.org/10.1145/3340531.3412759openalex-snapshot

MindReader

inferred← citeshttps://doi.org/10.1145/3386392.3399305openalex-snapshot

A Look Inside the Black-Box: Towards the Interpretability of Conditioned Variational Autoencoder for Collaborative Filtering

inferred← citeshttps://doi.org/10.1145/3428658.3431093openalex-snapshot

WordRecommender

inferred← citeshttps://doi.org/10.1145/3450613.3456819openalex-snapshot

Generating Interesting Song-to-Song Segues With Dave

inferred← citeshttps://doi.org/10.1145/3460231.3474249openalex-snapshot

Fast Multi-Step Critiquing for VAE-based Recommender Systems

inferred← citeshttps://doi.org/10.1145/3460231.3478886openalex-snapshot

Multi-Step Critiquing User Interface for Recommender Systems

inferred← citeshttps://doi.org/10.1145/3674805.3695393openalex-snapshot

Continuous Quality Improvement of AI-based Systems: the QualAI Project

inferred← citeshttps://doi.org/10.1145/3698877openalex-snapshot

Explaining Recommendation Fairness from a User/Item Perspective

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/10.18297/etd/3273openalex-snapshot

An explainable recommender system based on semantically-aware matrix factorization.

inferred← citeshttps://doi.org/10.18297/etd/3661openalex-snapshot

Multi-style explainable matrix factorization techniques for recommender systems

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/10.2174/9789815079210123010015openalex-snapshot

Knowledge Graphs for Explaination of Black-Box Recommender System

inferred← citeshttps://doi.org/10.22399/ijcesen.4945openalex-snapshot

Continuous-Learning Recommendation Engines: Fusing Deep Metric Embeddings with Contextual Bandits at Web Scale

inferred← citeshttps://doi.org/10.23919/fruct50888.2021.9347612openalex-snapshot

Combining an Autoencoder and a Variational Autoencoder for Explaining the Machine Learning Model Predictions

inferred← citeshttps://doi.org/10.3390/a18060306openalex-snapshot

Nomological Deductive Reasoning for Trustworthy, Human-Readable, and Actionable AI Outputs

inferred← citeshttps://doi.org/10.3390/axioms12030275openalex-snapshot

Probabilistic Coarsening for Knowledge Graph Embeddings

inferred← citeshttps://doi.org/10.3390/data7070094openalex-snapshot

A Systematic Review of Deep Knowledge Graph-Based Recommender Systems, with Focus on Explainable Embeddings

inferred← citeshttps://doi.org/10.70675/2b59f598z2028z49afz8a20z29b21f19f394openalex-snapshot

A Neural-Symbolic learning framework to produce interpretable predictions for image classification

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