Explainable Recommendation

Benchmarks archive 2025-07-28

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Libraries

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Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

30 shown of 37 papers with code (94 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• KGAT: Knowledge Graph Attention Network for Recommendation
  20 May 2019 7 repositories listed Syntology ran 7 of 13 samples · 6 unverified · 1 pointer-only (licence)
  To provide more accurate, diverse, and explainable recommendation, it is compulsory to go beyond modeling user-item interactions and take side information into account.
• Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation
  9 May 2018 5 repositories listed
  Specifically, we propose a knowledge-base representation learning framework to embed heterogeneous entities for recommendation, and based on the embedded knowledge base, a soft matching algorithm is proposed to generate…
• Learning to Rank Aspects and Opinions for Comparative Explanations
  16 Jan 2025 2 repositories listed
  Comparative recommendation explanations help to make sense of recommendations by comparing a recommended item along some aspects of interest with one or many items being considered.
• Hypergraphs with Attention on Reviews for Explainable Recommendation
  20 Mar 2024 2 repositories listed
  We propose a novel review-specific Hy-pergraph (HG) model, and further introduce a model-agnostic explaina-bility module.
• Tower Bridge Net (TB-Net): Bidirectional Knowledge Graph Aware Embedding Propagation for Explainable Recommender Systems
  2 Aug 2022 2 repositories listed
  Recently, neural networks based models have been widely used for recommender systems (RS).
• Counterfactual Explainable Recommendation
  24 Aug 2021 2 repositories listed
  Technically, for each item recommended to each user, CountER formulates a joint optimization problem to generate minimal changes on the item aspects so as to create a counterfactual item, such that the recommendation…
• Explainable Recommendation with Comparative Constraints on Product Aspects
  8 Mar 2021 2 repositories listed
  Not only do we aim at providing comparative explanations involving such items, but we also formulate comparative constraints involving aspect-level comparisons between the target item and the reference items.
• Counterfactual Multi-player Bandits for Explainable Recommendation Diversification
  27 May 2025 1 repository listed
  Existing recommender systems tend to prioritize items closely aligned with users' historical interactions, inevitably trapping users in the dilemma of ``filter bubble''.
• G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation
  18 Feb 2025 1 repository listed
  Moreover, existing methods often struggle with the integration of extracted CF information with LLMs due to its implicit representation and the modality gap between graph structures and natural language explanations.
• Interpret the Internal States of Recommendation Model with Sparse Autoencoder
  9 Nov 2024 1 repository listed
  Firstly, we train an autoencoder with sparsity constraints to reconstruct internal activations of recommendation models, making the RecSAE latents more interpretable and monosemantic than the original neuron activations.
• GaVaMoE: Gaussian-Variational Gated Mixture of Experts for Explainable Recommendation
  15 Oct 2024 1 repository listed
  GaVaMoE introduces two key components: (1) a rating reconstruction module that employs Variational Autoencoder (VAE) with a Gaussian Mixture Model (GMM) to capture complex user-item collaborative preferences, serving as…
• XRec: Large Language Models for Explainable Recommendation
  4 Jun 2024 1 repository listed
  We introduce a model-agnostic framework called XRec, which enables LLMs to provide comprehensive explanations for user behaviors in recommender systems.
• Finetuning Large Language Model for Personalized Ranking
  25 May 2024 1 repository listed
  Large Language Models (LLMs) have demonstrated remarkable performance across various domains, motivating researchers to investigate their potential use in recommendation systems.
• Unlocking the Potential of Large Language Models for Explainable Recommendations
  25 Dec 2023 1 repository listed Syntology ran 4 of 5 samples · 1 unverified · 5 pointer-only (licence)
  In this study, we propose LLMXRec, a simple yet effective two-stage explainable recommendation framework aimed at further boosting the explanation quality by employing LLMs.
• Finding Paths for Explainable MOOC Recommendation: A Learner Perspective
  11 Dec 2023 1 repository listed Syntology ran 11 of 12 samples · 1 unverified · 12 pointer-only (licence)
  In this work, we propose an explainable recommendation system for MOOCs that uses graph reasoning.
• Sustainable transparency in Recommender Systems: Bayesian Ranking of Images for Explainability
  27 Jul 2023 1 repository listed
  Recommender Systems have become crucial in the modern world, commonly guiding users towards relevant content or products, and having a large influence over the decisions of users and citizens.
• Topic-Centric Explanations for News Recommendation
  13 Jun 2023 1 repository listed
  News recommender systems (NRS) have been widely applied for online news websites to help users find relevant articles based on their interests.
• Towards Explainable Conversational Recommender Systems
  27 May 2023 1 repository listed
  To achieve this, we conduct manual and automatic approaches to extend these dialogues and construct a new CRS dataset, namely Explainable Recommendation Dialogues (E-ReDial).
• Uncovering ChatGPT's Capabilities in Recommender Systems
  3 May 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  The debut of ChatGPT has recently attracted the attention of the natural language processing (NLP) community and beyond.
• Question-Attentive Review-Level Recommendation Explanation
  17 Dec 2022 1 repository listed
  The form of explanation of interest here is presenting an existing review of the recommended item.
• UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation
  28 Sep 2022 1 repository listed
  Then, to obtain personalized explanations under this framework of insertion-based generation, we design a method of incorporating aspect planning and personalized references into the insertion process.
• Reinforcement Recommendation Reasoning through Knowledge Graphs for Explanation Path Quality
  11 Sep 2022 1 repository listed
  However, the existing explainable recommendation approaches based on KG merely optimize the selected reasoning paths for product relevance, without considering any user-level property of the paths for explanation.
• Reinforced Path Reasoning for Counterfactual Explainable Recommendation
  14 Jul 2022 1 repository listed
  We also deploy the explanation policy to a recommendation model to enhance the recommendation.
• Learning to Rank Rationales for Explainable Recommendation
  10 Jun 2022 1 repository listed
  Seeing this gap, we propose a model named Semantic-Enhanced Bayesian Personalized Explanation Ranking (SE-BPER) to effectively combine the interaction information and semantic information.
• Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations
  24 Apr 2022 1 repository listed
  Existing explainable recommender systems have mainly modeled relationships between recommended and already experienced products, and shaped explanation types accordingly (e.
• Personalized Prompt Learning for Explainable Recommendation
  15 Feb 2022 1 repository listed
  In the latter case, ID vectors are randomly initialized but the model is trained in advance on large corpora, so they are actually in different learning stages.
• Time-aware Path Reasoning on Knowledge Graph for Recommendation
  5 Aug 2021 1 repository listed
  In this work, we propose a novel Time-aware Path reasoning for Recommendation (TPRec for short) method, which leverages the potential of temporal information to offer better recommendation with plausible explanations.
• Personalized Transformer for Explainable Recommendation
  25 May 2021 1 repository listed Syntology ran 6 of 8 samples · 2 unverified · 8 pointer-only (licence)
  Transformer, which is demonstrated with strong language modeling capability, however, is not personalized and fails to make use of the user and item IDs since the ID tokens are not even in the same semantic space as the…
• Faithfully Explainable Recommendation via Neural Logic Reasoning
  16 Apr 2021 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Knowledge graphs (KG) have become increasingly important to endow modern recommender systems with the ability to generate traceable reasoning paths to explain the recommendation process.
• EXTRA: Explanation Ranking Datasets for Explainable Recommendation
  20 Feb 2021 1 repository listed
  To achieve a standard way of evaluating recommendation explanations, we provide three benchmark datasets for EXplanaTion RAnking (denoted as EXTRA), on which explainability can be measured by ranking-oriented metrics.

Syntology lines on 6 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.