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On the Relationship between Explanation and Recommendation: Learning to Rank Explanations for Improved Performance
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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/10.1007/978-3-642-14267-3openalex-snapshot
Learning to Rank for Information Retrieval
inferredcites →https://doi.org/10.1007/bf02289464openalex-snapshot
Some Mathematical Notes on Three-Mode Factor Analysis
inferredcites →https://doi.org/10.1007/bf02310791openalex-snapshot
Analysis of Individual Differences in Multidimensional Scaling Via an N-way Generalization of “Eckart-Young” Decomposition
inferredcites →https://doi.org/10.1007/s10844-020-00631-8openalex-snapshot
CAESAR: context-aware explanation based on supervised attention for service recommendations
inferredcites →https://doi.org/10.1007/s11280-021-00912-4openalex-snapshot
Path-enhanced explainable recommendation with knowledge graphs
inferredcites →https://doi.org/10.1109/icdm.2002.1183878openalex-snapshot
Proceedings 2002 IEEE International Conference on Data Mining. ICDM 2002
inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot
Matrix Factorization Techniques for Recommender Systems
inferredcites →https://doi.org/10.1137/s0895479896305696openalex-snapshot
A Multilinear Singular Value Decomposition
inferredcites →https://doi.org/10.1145/1718487.1718498openalex-snapshot
Pairwise interaction tensor factorization for personalized tag recommendation
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/10.1145/2911451.2911549openalex-snapshot
Learning to Rank Features for Recommendation over Multiple Categories
inferredcites →https://doi.org/10.1145/3077136.3080822openalex-snapshot
Neural Rating Regression with Abstractive Tips Generation for Recommendation
inferredcites →https://doi.org/10.1145/3178876.3186070openalex-snapshot
Neural Attentional Rating Regression with Review-level Explanations
inferredcites →https://doi.org/10.1145/3219819.3220088openalex-snapshot
Fairness of Exposure in Rankings
inferredcites →https://doi.org/10.1145/3240323openalex-snapshot
Proceedings of the 12th ACM Conference on Recommender Systems
inferredcites →https://doi.org/10.1145/3240323.3240354openalex-snapshot
Explore, exploit, and explain
inferredcites →https://doi.org/10.1145/3308558.3313469openalex-snapshot
How Serendipity Improves User Satisfaction with Recommendations? A Large-Scale User Evaluation
inferredcites →https://doi.org/10.1145/3331184.3331203openalex-snapshot
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
inferredcites →https://doi.org/10.1145/3331184.3331254openalex-snapshot
Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network
inferredcites →https://doi.org/10.1145/3340531.3411992openalex-snapshot
Generate Neural Template Explanations for Recommendation
inferredcites →https://doi.org/10.1145/3366423.3380071openalex-snapshot
Understanding User Behavior For Document Recommendation
inferredcites →https://doi.org/10.1145/3397271.3401032openalex-snapshot
Measuring Recommendation Explanation Quality
inferredcites →https://doi.org/10.1145/3404835.3463248openalex-snapshot
EXTRA: Explanation Ranking Datasets for Explainable Recommendation
inferredcites →https://doi.org/10.1145/3437963.3441726openalex-snapshot
Explanation as a Defense of Recommendation
inferredcites →https://doi.org/10.1145/3437963.3441762openalex-snapshot
Temporal Meta-path Guided Explainable Recommendation
inferredcites →https://doi.org/10.1145/3442381.3449848openalex-snapshot
ELIXIR: Learning from User Feedback on Explanations to Improve Recommender Models
inferredcites →https://doi.org/10.1145/3485447.3512031openalex-snapshot
Comparative Explanations of Recommendations
inferredcites →https://doi.org/10.1145/3485447.3512168openalex-snapshot
Graph-based Extractive Explainer for Recommendations
inferredcites →https://doi.org/10.1145/358916.358995openalex-snapshot
Explaining collaborative filtering recommendations
inferredcites →https://doi.org/10.1145/371920.372071openalex-snapshot
Item-based collaborative filtering recommendation algorithms
inferredcites →https://doi.org/10.1561/1500000066openalex-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/10.18653/v1/2020.acl-mainopenalex-snapshot
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
inferredcites →https://doi.org/10.24963/ijcai.2019/296openalex-snapshot
Co-Attentive Multi-Task Learning for Explainable Recommendation
inferredcites →https://doi.org/10.3115/v1/p15-1openalex-snapshot
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
inferredcites →https://doi.org/10.48550/arxiv.1809.08353openalex-snapshot
Coupled Graphs and Tensor Factorization for Recommender Systems and Community Detection
inferredcites →https://doi.org/10.52202/085713openalex-snapshot
Advances in Neural Information Processing Systems 19
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s10994-024-06699-5openalex-snapshot
Learning to rank aspects and opinions for comparative explanations
inferred← citeshttps://doi.org/10.1007/s10994-026-07099-7openalex-snapshot
Contrastive Learning for Explanation Ranking
inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102497openalex-snapshot
Sustainable transparency on recommender systems: Bayesian ranking of images for explainability
inferred← citeshttps://doi.org/10.1016/j.neunet.2022.10.014openalex-snapshot
ExpGCN: Review-aware Graph Convolution Network for explainable recommendation
inferred← citeshttps://doi.org/10.1109/icdm59182.2024.00074openalex-snapshot
An Explainable Recommender System by Integrating Graph Neural Networks and User Reviews
inferred← citeshttps://doi.org/10.1145/3580488openalex-snapshot
Personalized Prompt Learning for Explainable Recommendation
inferred← citeshttps://doi.org/10.1145/3626243openalex-snapshot
MHANER: A Multi-source Heterogeneous Graph Attention Network for Explainable Recommendation in Online Games
inferred← citeshttps://doi.org/10.1145/3631521openalex-snapshot
Triple Dual Learning for Opinion-based Explainable Recommendation
inferred← citeshttps://doi.org/10.1145/3640543.3645171openalex-snapshot
Leveraging ChatGPT for Automated Human-centered Explanations in Recommender Systems
inferred← citeshttps://doi.org/10.1145/3758091openalex-snapshot
Explainable Recommendation with Simulated Human Feedback
inferred← citeshttps://doi.org/10.1145/3779059openalex-snapshot
User Perceptions of Personalized and Generic Explanations in LLM-Driven Recommender Systems
inferred← citeshttps://doi.org/10.1609/aaai.v39i12.33434openalex-snapshot
CoT4Rec: Revealing User Preferences Through Chain of Thought for Recommender Systems
inferred← citeshttps://doi.org/10.18653/v1/2022.findings-emnlp.433openalex-snapshot
Data-Efficient Concept Extraction from Pre-trained Language Models for Commonsense Explanation Generation
inferred← citeshttps://doi.org/10.53759/7669/jmc202505210openalex-snapshot
A Personalized and Explainable News Recommendation Framework Leveraging User Clickstreams and Content Semantics
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