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Knowledge is Power, Understanding is Impact: Utility and Beyond Goals,
  Explanation Quality, and Fairness in Path Reasoning Recommendation

Knowledge is Power, Understanding is Impact: Utility and Beyond Goals, Explanation Quality, and Fairness in Path Reasoning Recommendation

14 January 2023
Giacomo Balloccu
Ludovico Boratto
Christian Cancedda
Gianni Fenu
Mirko Marras
ArXiv (abs)PDFHTMLGithub (11★)

Papers citing "Knowledge is Power, Understanding is Impact: Utility and Beyond Goals, Explanation Quality, and Fairness in Path Reasoning Recommendation"

12 / 12 papers shown
Title
Mining Implicit Entity Preference from User-Item Interaction Data for
  Knowledge Graph Completion via Adversarial Learning
Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning
Gaole He
Junyi Li
Wayne Xin Zhao
Peiju Liu
Ji-Rong Wen
62
39
0
28 Mar 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies,
  Opportunities and Challenges toward Responsible AI
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
Alejandro Barredo Arrieta
Natalia Díaz Rodríguez
Javier Del Ser
Adrien Bennetot
Siham Tabik
...
S. Gil-Lopez
Daniel Molina
Richard Benjamins
Raja Chatila
Francisco Herrera
XAI
127
6,293
0
22 Oct 2019
Ekar: An Explainable Method for Knowledge Aware Recommendation
Ekar: An Explainable Method for Knowledge Aware Recommendation
Weiping Song
Zhijian Duan
Ziqing Yang
Haozhe Zhu
Ming Zhang
Jian Tang
CML
43
15
0
22 Jun 2019
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
Yikun Xian
Zuohui Fu
S. Muthukrishnan
Gerard de Melo
Yongfeng Zhang
74
465
0
12 Jun 2019
KGAT: Knowledge Graph Attention Network for Recommendation
KGAT: Knowledge Graph Attention Network for Recommendation
Xiang Wang
Xiangnan He
Yixin Cao
Meng Liu
Tat-Seng Chua
OffRL
88
1,822
0
20 May 2019
Jointly Learning Explainable Rules for Recommendation with Knowledge
  Graph
Jointly Learning Explainable Rules for Recommendation with Knowledge Graph
Weizhi Ma
Min Zhang
Yue Cao
Woojeong Jin
Jin
Chenyang Wang
Yiqun Liu
Shaoping Ma
Xiang Ren
58
219
0
09 Mar 2019
Neural Collective Entity Linking
Neural Collective Entity Linking
Yixin Cao
Lei Hou
Juan-Zi Li
Zhiyuan Liu
58
108
0
21 Nov 2018
RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed
  Learning from Heterogeneous Datasets
RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets
Liping Li
Canran Xu
Xiangnan He
Yixin Cao
Tat-Seng Chua
FedML
114
598
0
09 Nov 2018
Explainable Recommendation: A Survey and New Perspectives
Explainable Recommendation: A Survey and New Perspectives
Yongfeng Zhang
Xu Chen
XAILRM
81
878
0
30 Apr 2018
RippleNet: Propagating User Preferences on the Knowledge Graph for
  Recommender Systems
RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems
Hongwei Wang
Fuzheng Zhang
Jialin Wang
Miao Zhao
Wenjie Li
Xing Xie
Minyi Guo
86
1,050
0
09 Mar 2018
DKN: Deep Knowledge-Aware Network for News Recommendation
DKN: Deep Knowledge-Aware Network for News Recommendation
Hongwei Wang
Fuzheng Zhang
Xing Xie
Minyi Guo
75
1,046
0
25 Jan 2018
A Theoretical Analysis of NDCG Type Ranking Measures
A Theoretical Analysis of NDCG Type Ranking Measures
Yining Wang
Liwei Wang
Yuanzhi Li
Di He
Tie-Yan Liu
Wei-neng Chen
103
424
0
24 Apr 2013
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