| A | B | C | D | E | F | G | H | I | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ID | First author | Title | Year | Paper Type | Venue | evaluation type | Stats? | mutliple eval type (more precise) | |||||||||||||||
2 | 4 | Zimmermann, Robert | Enhancing brick-and-mortar store shopping experience with an augmented reality shopping assistant application using personalized recommendations and explainable artificial intelligence | 2022 | Journal | Journal of Research in Interactive Marketing | user | yes | ||||||||||||||||
3 | 5 | Zanon, André Levi | A user study with aspect-based sentiment analysis for similarity of items in content-based recommendations | 2022 | Journal | Expert Systems | user | no | ||||||||||||||||
4 | 8 | Yang, Aobo | Comparative explanations of recommendations | 2022 | Conference | WWW | multiple | yes | offline, user | |||||||||||||||
5 | 19 | Zhong, Jinfeng | Shap-enhanced counterfactual explanations for recommendations | 2022 | Conference | Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing | offline | no | ||||||||||||||||
6 | 20 | Zhang, Mingwei | METoNR: A meta explanation triplet oriented news recommendation model | 2022 | Journal | Knowledge-Based Systems | example | no | ||||||||||||||||
7 | 21 | Yuan, Hui | Doctor recommendation on healthcare consultation platforms: an integrated framework of knowledge graph and deep learning | 2022 | Journal | Internet Research | example | no | ||||||||||||||||
8 | 22 | Yang, Zekun | Interpretable video tag recommendation with multimedia deep learning framework | 2022 | Journal | Internet Research | multiple | yes | example, user | |||||||||||||||
9 | 23 | Yang, Nakyeong | Semantic and explainable research-related recommendation system based on semi-supervised methodology using BERT and LDA models | 2022 | Journal | Expert Systems with Applications | example | |||||||||||||||||
10 | 24 | Wang, Xiting | Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning | 2022 | Conference | WWW | example | no | ||||||||||||||||
11 | 26 | Wang, Peng | Graph-based Extractive Explainer for Recommendations | 2022 | Conference | WWW | offline | no | ||||||||||||||||
12 | 27 | Zhang, Wei | Neuro-Symbolic Interpretable Collaborative Filtering forAttribute-based Recommendation | 2022 | Conference | WWW | multiple | no | example, offline | |||||||||||||||
13 | 28 | Volokhin, Sergey | Generating and Validating Contextually Relevant Justifications for Conversational Recommendation | 2022 | Conference | CHIIR | user | yes | ||||||||||||||||
14 | 29 | Tang, Shisong | Knowledge-based Temporal Fusion Network for Interpretable Online Video Popularity Prediction | 2022 | Conference | WWW | example | no | ||||||||||||||||
15 | 30 | Takami, Kyosuke | Educational Explainable Recommender Usage and its Effectiveness in High School Summer Vacation Assignment | 2022 | Conference | International Learning Analytics and Knowledge Conference (LAK) | user | yes | ||||||||||||||||
16 | 31 | Javali, Shiddalingeshwar Mallayya | Comparative study of xAI layer-wise algorithms with a Robust Recommendation framework of Inductive Clustering for Polyp Segmentation and Classification | 2022 | Conference | International Seminar on Machine Learning, Optimization, and Data Science (ISMODE) | example | no | ||||||||||||||||
17 | 32 | Du, Wei | Leveraging online behaviors for interpretable knowledge-aware patent recommendation | 2022 | Journal | Internet Research | multiple | no | offline, user | |||||||||||||||
18 | 33 | Millecamp, Martijn | “Knowing me, knowing you”: personalized explanations for a music recommender system | 2022 | Journal | User Modeling and User-Adapted Interaction | user | yes | ||||||||||||||||
19 | 34 | Islek, Irem | A hierarchical recommendation system for E-commerce using online user reviews | 2022 | Journal | Electronic Commerce Research and Applications | multiple | example, offline | ||||||||||||||||
20 | 35 | Pan, Sicheng | Accurate and Explainable Recommendation via Review Rationalization | 2022 | Conference | TheWebConf | offline | no | ||||||||||||||||
21 | 36 | Liu, Donghua | Adaptive Hierarchical Attention-Enhanced Gated Network Integrating Reviews for Item Recommendation | 2022 | Journal | IEEE Transactions on Knowledge and Data Engineering | example | |||||||||||||||||
22 | 37 | Shimizu, Ryotaro | An explainable recommendation framework based on an improved knowledge graph attention network with massive volumes of side information | 2022 | Journal | Knowledge-Based Systems | example | |||||||||||||||||
23 | 38 | Sun, Peijie | An Unsupervised Aspect-Aware Recommendation Model with Explanation Text Generation | 2022 | Journal | ACM Transactions on Information Systems | multiple | no | example, offline, user | |||||||||||||||
24 | 39 | Syed, Muzamil Hussain | Context-Aware Explainable Recommendation Based on Domain Knowledge Graph | 2022 | Journal | Big Data Cogn. Comput. | example | |||||||||||||||||
25 | 40 | Pecune, Florian | Designing Persuasive Food Conversational Recommender Systems With Nudging and Socially-Aware Conversational Strategies | 2022 | Journal | Frontiers in Robotics and AI | user | yes | ||||||||||||||||
26 | 41 | Gajos, Krzysztof Z. | Do People Engage Cognitively with AI? Impact of AI Assistance on Incidental Learning | 2022 | Conference | IUI | user | yes | ||||||||||||||||
27 | 42 | Ooge, Jeroen | Explaining Recommendations in E-Learning: Effects on Adolescents' Trust | 2022 | Conference | IUI | user | yes | ||||||||||||||||
28 | 43 | Rana, Arpit | Extended recommendation-by-explanation | 2022 | Journal | User Modeling and User-Adapted Interaction | user | yes | ||||||||||||||||
29 | 44 | Wang, Lu | Hierarchical Imitation Learning via Subgoal Representation Learning for Dynamic Treatment Recommendation | 2022 | Conference | WSDM | example | |||||||||||||||||
30 | 45 | Hadash, Sophia | Improving understandability of feature contributions in model-agnostic explainable AI tools | 2022 | Conference | CHI | user | yes | ||||||||||||||||
31 | 46 | Li, Haotian | KG4Vis: A Knowledge Graph-Based Approach for Visualization Recommendation | 2022 | Journal | IEEE Transactions on Visualization and Computer Graphics | multiple | no | example, user | |||||||||||||||
32 | 47 | Mu, Shanlei | Knowledge-Guided Disentangled Representation Learning for Recommender Systems | 2022 | Journal | ACM Transactions on Information Systems | example | |||||||||||||||||
33 | 48 | Li, Hui | Multi-Task Learning for Recommendation Over Heterogeneous Information Network | 2022 | Journal | IEEE Transactions on Knowledge and Data Engineering | example | |||||||||||||||||
34 | 49 | Penha, Gustavo | Pairwise Review-Based Explanations for Voice Product Search | 2022 | Conference | CHIIR | user | yes | ||||||||||||||||
35 | 50 | Geng, Shijie | Path Language Modeling over Knowledge Graphsfor Explainable Recommendation | 2022 | Conference | WWW | example | |||||||||||||||||
36 | 51 | Bhoi, Suman | Personalizing Medication Recommendation with a Graph-Based Approach | 2022 | Journal | ACM Transactions on Information Systems | example | |||||||||||||||||
37 | 52 | Cui, Zhihong | Reinforced KGs reasoning for explainable sequential recommendation | 2022 | Journal | World Wide Web | multiple | example, offline | ||||||||||||||||
38 | 53 | Park, Sung-Jun | Reinforcement Learning over Sentiment-Augmented Knowledge Graphs towards Accurate and Explainable Recommendation | 2022 | Conference | WSDM | multiple | no | example, user | |||||||||||||||
39 | 54 | Anelli, Vito Walter | Semantic Interpretation of Top-N Recommendations | 2022 | Journal | IEEE Transactions on Knowledge and Data Engineering | offline | |||||||||||||||||
40 | 55 | Marinho, Leandro Balby | Similarity-Based Explanations meet Matrix Factorization via Structure-Preserving Embeddings | 2022 | Conference | IUI | multiple | no | example, offline | |||||||||||||||
41 | 56 | Panigutti, Cecilia | Understanding the impact of explanations on advice-taking: a user study for AI-based clinical Decision Support Systems | 2022 | Conference | CHI | user | yes | ||||||||||||||||
42 | 57 | Zheng, Jiayin | Explainable Session-based Recommendation with Meta-path Guided Instances and Self-Attention Mechanism | 2022 | Conference | Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval | example | |||||||||||||||||
43 | 58 | Wang, Chao | Personalized and Explainable Employee Training Course Recommendations: A Bayesian Variational Approach | 2022 | Journal | TOIS | example | |||||||||||||||||
44 | 59 | Geng, Shijie | Improving Personalized Explanation Generation through Visualization | 2022 | Conference | ACL | multiple | example, offline, user | ||||||||||||||||
45 | 61 | Chatti, Mohamed Amine | Is More Always Better? The Effects of Personal Characteristics and Level of Detail on the Perception of Explanations in a Recommender System | 2022 | Conference | UMAP | user | yes | ||||||||||||||||
46 | 62 | Zhang, Zhirun | Effects of Feature-Based Explanation and Its Output Modality on User Satisfaction With Service Recommender Systems | 2022 | Journal | Frontiers in Big Data | user | yes | ||||||||||||||||
47 | 63 | Majjodi, Ayoub El | Nudging Towards Health? Examining the Merits of Nutrition Labels and Personalization in a Recipe Recommender System | 2022 | Conference | UMAP | user | yes | ||||||||||||||||
48 | 64 | Nelekar, Shreeya | Effectiveness of embodied conversational agents for managing academic stress at an Indian University (ARU) during COVID-19 | 2022 | Journal | British Journal of Educational Technology | user | yes | ||||||||||||||||
49 | 65 | Zheng, Jianxing | Attention-based explainable friend link prediction with heterogeneous context information | 2022 | Journal | Information Sciences | example | no | ||||||||||||||||
50 | 66 | Wang, Qinqin | Entity-Enhanced Graph Convolutional Network for Accurate and Explainable Recommendation | 2022 | Conference | UMAP | multiple | example, offline | ||||||||||||||||
51 | 67 | Abdulrahman, Amal | Changing users’ health behaviour intentions through an embodied conversational agent delivering explanations based on users’ beliefs and goals | 2022 | Journal | Behaviour & Information Technology | user | yes | ||||||||||||||||
52 | 68 | Dasari, Chandra Mohan | Explainable deep neural networks for novel viral genome prediction | 2022 | Journal | Applied Intelligence | example | no | ||||||||||||||||
53 | 69 | Wagenpfeil, Stefan | Explainable Multimedia Feature Fusion for Medical Applications | 2022 | Journal | Journal of Imaging | example | no | ||||||||||||||||
54 | 70 | Park, Seobin | High strength aluminum alloys design via explainable artificial intelligence | 2022 | Journal | Journal of Alloys and Compounds | example | |||||||||||||||||
55 | 71 | Shen, Dazhong | Joint Representation Learning with Relation-Enhanced Topic Models for Intelligent Job Interview Assessment | 2022 | Journal | ACM Transactions on Information Systems | example | no | ||||||||||||||||
56 | 72 | Wang, Tao | Popularity Prediction for Consumers’ Product Recommendation Articles | 2022 | Journal | Journal of Global Information Management (JGIM) | example | |||||||||||||||||
57 | 73 | Kovalchuk, Sergey V. | Three-stage intelligent support of clinical decision making for higher trust, validity, and explainability | 2022 | Journal | Journal of Biomedical Informatics | example | no | ||||||||||||||||
58 | 74 | Abu-Rasheed, Hasan | Transferrable Framework Based on Knowledge Graphs for Generating Explainable Results in Domain-Specific, Intelligent Information Retrieval | 2022 | Journal | Informatics | offline | no | ||||||||||||||||
59 | 75 | Wen, Bingbing | ExpScore: Learning Metrics for Recommendation Explanation | 2022 | Conference | WWW | user | no | ||||||||||||||||
60 | 76 | Zong, Xiaoning | SAER: Sentiment-Opinion Alignment Explainable Recommendation | 2022 | Conference | DASFAA | multiple | example, offline | ||||||||||||||||
61 | 77 | Viswanathan, Sruthi | Addressing Hiccups in Conversations with Recommender Systems | 2022 | Conference | DIS | user | no | ||||||||||||||||
62 | 78 | Hsu, Pei Ying | Explainable mutual fund recommendation system developed based on knowledge graph embeddings | 2022 | Journal | Applied Intelligence | example | |||||||||||||||||
63 | 79 | Ge, Yingqiang | Explainable Fairness in Recommendation | 2022 | Conference | SIGIR | offline | |||||||||||||||||
64 | 80 | Balloccu, Giacomo | Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations | 2022 | Conference | SIGIR | multiple | offline, user | ||||||||||||||||
65 | 81 | Zhang, Zhirun | A Diary Study of Social Explanations for Recommendations in Daily Life | 2022 | Conference | UMAP (adjunct) | user | no | ||||||||||||||||
66 | 82 | Guesmi, Mouadh | Explaining User Models with Different Levels of Detail for Transparent Recommendation: A User Study | 2022 | Conference (adjunct) | UMAP | multiple | yes | example, user study | |||||||||||||||
67 | 83 | Mishra, Aditi | Why? Why not? When? Visual Explanations of Agent Behaviour in Reinforcement Learning | 2022 | Conference | 2022 IEEE 15th Pacific Visualization Symposium (PacificVis) | user | yes | ||||||||||||||||
68 | 84 | Tan, Yanchao | Enhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space | 2022 | Conference | 2022 IEEE 38th International Conference on Data Engineering (ICDE) | example | |||||||||||||||||
69 | 85 | Tal, Avital Shulner | Fairness, explainability and in-between: understanding the impact of different explanation methods on non-expert users’ perceptions of fairness toward an algorithmic system | 2022 | Journal | Ethics and Information Technology | user | yes | ||||||||||||||||
70 | 86 | Szymanski, Maxwell | Explaining Health Recommendations to Lay Users: The Dos and Dont's | 2022 | Conference | IUI Workshop | user | no | ||||||||||||||||
71 | 87 | Shang, Ruoxi | Why Am I Not Seeing It? Understanding Users’ Needs for Counterfactual Explanations in Everyday Recommendations | 2022 | Conference | FAccT | user | yes | ||||||||||||||||
72 | 88 | Liao, Mengqi | User Trust in Recommendation Systems: A comparison of Content-Based, Collaborative and Demographic Filtering | 2022 | Conference | CHI | user | yes | ||||||||||||||||
73 | Zhang, Yihao | Aggregating knowledge-aware graph neural network and adaptive relational attention for recommendation | 2022 | Journal | Applied Intelligence | none | ||||||||||||||||||
74 | Zheng, Xiaolin | Modeling Dynamic Missingness of Implicit Feedback for Sequential Recommendation | 2022 | Journal | IEEE Transactions on Knowledge and Data Engineering | offline | ||||||||||||||||||
75 | Zhang, Xin | Double attention based recommendation for heterogeneous information | 2022 | Journal | Concurrency and Computation | none | ||||||||||||||||||
76 | Zhang, Xiaoxia | Improving nonnegative matrix factorization with advanced graph regularization | 2022 | Journal | Information Sciences | none | ||||||||||||||||||
77 | Nagaraj, P | A Prediction and Recommendation System for Diabetes Mellitus using XAI-based Lime Explainer | 2022 | Conference | International Conference on Sustainable Computing and Data Communication Systems | example | ||||||||||||||||||
78 | Yang, Qiang | Interpretable Relation Learning on Heterogeneous Graphs | 2022 | Conference | WSDM | none | ||||||||||||||||||
79 | Yang, Jie | Sparse fuzzy classification for profiling online users and relevant user-generated content | 2022 | Journal | Expert Systems with Applications | none | ||||||||||||||||||
80 | Wang, Xiangmeng | Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation | 2022 | Journal | IEEE Transactions on Knowledge and Data Engineering | none | ||||||||||||||||||
81 | Wang, Yang | Personalized Recommendation via Multi-dimensional Meta-paths Temporal Graph Probabilistic Spreading | 2022 | Journal | Information Processing & Management | none | ||||||||||||||||||
82 | Wang, Clarice | Do Humans Prefer Debiased AI Algorithms? A Case Study in Career Recommendation | 2022 | Conference | IUI | user | ||||||||||||||||||
83 | 185 | Sun, Yuan | Exploring the Effects of Interactive Dialogue in Improving User Control for Explainable Online Symptom Checkers | 2022 | Conference (Poster) | CHI EA | user | |||||||||||||||||
84 | Wang, Xin | Disentangled Representation Learning for Recommendation | 2022 | Journal | IEEE Transactions on Pattern Analysis and Machine Intelligence | example | ||||||||||||||||||
85 | Song, Yuzhi | Deep multi-graph neural networks with attention fusion for recommendation | 2022 | Journal | Expert Systems with Applications | none | ||||||||||||||||||
86 | Shao, Mengting | Computational Drug Repurposing Based on a Recommendation System and Drug–Drug Functional Pathway Similarity | 2022 | Journal | Molecules | example | ||||||||||||||||||
87 | Alhejaili, Abdullah | Expressive Latent Feature Modelling for Explainable Matrix Factorisation based Recommender Systems | 2022 | Journal | ACM Transactions on Interactive Intelligent Systems | multiple | example, offline | |||||||||||||||||
88 | Oprescu, A.M. | Towards a data collection methodology for Responsible Artificial Intelligence in health: A prospective and qualitative study in pregnancy | 2022 | Journal | Information Fusion | multiple | no | example, user | ||||||||||||||||
89 | 186 | Radensky, Marissa | Exploring the Role of Local and Global Explanations in Recommender Systems | 2022 | Conference (Poster) | CHI EA | user | |||||||||||||||||
90 | Li, Jianfei | A Rating Prediction Recommendation Model Combined with the Optimizing Allocation for Information Granularity of Attributes | 2022 | Journal | Information | none | ||||||||||||||||||
91 | Lee, John S. Y. | An editable learner model for text recommendation for language learning | 2022 | Journal | ReCALL | user | ||||||||||||||||||
92 | Lak, Parisa | A replication study on implicit feedback recommender systems with application to the data visualization recommendation | 2022 | Journal | Expert Systems | none | ||||||||||||||||||
93 | Coba, Ludovik | RecoXplainer: A Library for Development and Offline Evaluation of Explainable Recommender Systems | 2022 | Journal | IEEE Computational Intelligence Magazine | offline | ||||||||||||||||||
94 | Lyu, Ziyu | Knowledge Enhanced Graph Neural Networks for Explainable Recommendation | 2022 | Journal | IEEE Transactions on Knowledge and Data Engineering | example | ||||||||||||||||||
95 | Konovalenko, Iurii | Generating decision support for alarm processing in cold supply chains using a hybrid k-NN algorithm | 2022 | Journal | Expert Systems with Applications | none | ||||||||||||||||||
96 | Ma, Ting | KR-GCN: Knowledge-aware Reasoning with Graph Convolution Network for Explainable Recommendation | 2022 | Journal | ACM Transactions on Information Systems | user | no | |||||||||||||||||
97 | Wang, Ke | Learning Aspect-aware High-order Representations from Ratings and Reviews for Recommendation | 2022 | Journal | ACM Transactions on Knowledge Discovery from Data | example | ||||||||||||||||||
98 | Brückner, Lukas | Learning GUI Completions with User-defined Constraints | 2022 | Journal | ACM Transactions on Interactive Intelligent Systems | example | ||||||||||||||||||
99 | Guo, Haihong | Learning dynamic treatment strategies for coronary heart diseases by artificial intelligence: real-world data-driven study | 2022 | Journal | BMC Medical Informatics and Decision Making | example | ||||||||||||||||||
100 | Fu, Chao | Multi-criteria appraisal recommendation | 2022 | Journal | Journal of the Operational Research Society | none |