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Keyword

explainable recommendation

Description: Recommendation systems that provide understandable reasons for suggesting particular items, services, or actions to individual users.
OpenAlex ID: keywords/explainable-recommendation
KGAT
2019 · Xiang Wang, Xiangnan He, et al. · ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) · 2,269
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Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects
2019 · Jianmo Ni, Jiacheng Li, et al. · 1,256
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A Survey on Knowledge Graph-Based Recommender Systems
2020 · Qingyu Guo, Fuzhen Zhuang, et al. · IEEE Transactions on Knowledge and Data Engineering · 992
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Explicit factor models for explainable recommendation based on phrase-level sentiment analysis
2014 · Yongfeng Zhang, Guokun Lai, et al. · 813
Explainable Reasoning over Knowledge Graphs for Recommendation
2019 · Xiang Wang, Dingxian Wang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 781
Explainable Recommendation: A Survey and New Perspectives
2020 · Yongfeng Zhang, Xu Chen · Foundations and Trends® in Information Retrieval · 748
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Explainable Recommendation a survey and new perspectives
2020 · Zhang, Yongfeng, Chen, Xu · 689
Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences
2019 · Yixin Cao, Xiang Wang, et al. · 665
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
2019 · Yikun Xian, Zuohui Fu, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 544
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Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation
2018 · Qingyao Ai, Vahid Azizi, et al. · Algorithms · 482
TriRank
2015 · Xiangnan He, Tao Chen, et al. · 456
The effects of transparency on trust in and acceptance of a content-based art recommender
2008 · Henriette Cramer, Vanessa Evers, et al. · User Modeling and User-Adapted Interaction · 448
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Recurrent knowledge graph embedding for effective recommendation
2018 · Zhu Sun, Jie Yang, et al. · ACM Conference on Recommender Systems (RecSys) · 383
How should I explain? A comparison of different explanation types for recommender systems
2014 · Fatih Gedikli, Dietmar Jannach, et al. · International Journal of Human-Computer Studies · 337
Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network
2019 · Xu Chen, Hanxiong Chen, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 310
Tagsplanations
2009 · Jesse Vig, Shilad Sen, et al. · ACM International Conference on Intelligent User Interfaces (IUI) · 303
Jointly Learning Explainable Rules for Recommendation with Knowledge Graph
2019 · Weizhi Ma, Min Zhang, et al. · 228
A Context-Aware User-Item Representation Learning for Item Recommendation
2019 · Libing Wu, Cong Quan, et al. · ACM Transactions on Information Systems · 223
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Explainable Recommendation via Multi-Task Learning in Opinionated Text Data
2018 · Nan Wang, Hongning Wang, et al. · 217
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Fairness-Aware Explainable Recommendation over Knowledge Graphs
2020 · Zuohui Fu, Yikun Xian, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 212
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CATN
2020 · Cheng Zhao, Chenliang Li, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 210
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TEM
2018 · Xiang Wang, Xiangnan He, et al. · 201
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Explainable Recommendation: A Survey and New Perspectives
2020 · Yongfeng Zhang, Xu Chen · 200
Learning Disentangled Representations for Recommendation
2019 · Ma, Jianxin, Zhou, Chang, et al. · arXiv (Cornell University) · 197
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Personalized explanations for hybrid recommender systems
2019 · Pigi Kouki, James Schaffer, et al. · ACM International Conference on Intelligent User Interfaces (IUI) · 175
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Works count: 2,303
Citation count: 32,400
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