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Jointly Learning Explainable Rules for Recommendation with Knowledge
  Graph

Jointly Learning Explainable Rules for Recommendation with Knowledge Graph

9 March 2019
Weizhi Ma
Min Zhang
Yue Cao
Woojeong Jin
Jin
Chenyang Wang
Yiqun Liu
Shaoping Ma
Xiang Ren
ArXivPDFHTML

Papers citing "Jointly Learning Explainable Rules for Recommendation with Knowledge Graph"

18 / 18 papers shown
Title
RecKG: Knowledge Graph for Recommender Systems
RecKG: Knowledge Graph for Recommender Systems
Junhyuk Kwon
Seokho Ahn
Young-Duk Seo
44
1
0
08 Jan 2025
KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion
KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion
Dong Hyun Jeon
Wenbo Sun
Haoze Song
Dongfang Liu
Velasquez Alvaro
Yixin Xie
Shuteng Niu
45
0
0
07 Jan 2025
Topic-Aware Knowledge Graph with Large Language Models for Interoperability in Recommender Systems
Topic-Aware Knowledge Graph with Large Language Models for Interoperability in Recommender Systems
Minhye Jeon
Seokho Ahn
Young-Duk Seo
43
1
0
28 Dec 2024
Knowledge Graph Pruning for Recommendation
Knowledge Graph Pruning for Recommendation
Fake Lin
Xi Zhu
Ziwei Zhao
Deqiang Huang
Yu Yu
Xueying Li
Zhi Zheng
Tong Xu
Enhong Chen
29
0
0
19 May 2024
AGI for Agriculture
AGI for Agriculture
Guoyu Lu
Sheng Li
Gengchen Mai
Jin Sun
Dajiang Zhu
...
R. Xu
Daniel Petti
Changying Li
Tianming Liu
Changying Li
AI4CE
48
17
0
12 Apr 2023
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
Giacomo Balloccu
Ludovico Boratto
Christian Cancedda
Gianni Fenu
Mirko Marras
28
8
0
14 Jan 2023
FairSR: Fairness-aware Sequential Recommendation through Multi-Task
  Learning with Preference Graph Embeddings
FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings
Cheng-Te Li
Cheng-Mao Hsu
Yang Zhang
FaML
24
35
0
30 Apr 2022
Vector-valued Distance and Gyrocalculus on the Space of Symmetric
  Positive Definite Matrices
Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices
F. López
Beatrice Pozzetti
Steve J. Trettel
Michael Strube
Anna Wienhard
39
17
0
26 Oct 2021
Trustworthy AI: A Computational Perspective
Trustworthy AI: A Computational Perspective
Haochen Liu
Yiqi Wang
Wenqi Fan
Xiaorui Liu
Yaxin Li
Shaili Jain
Yunhao Liu
Anil K. Jain
Jiliang Tang
FaML
104
196
0
12 Jul 2021
Explainable Machine Learning with Prior Knowledge: An Overview
Explainable Machine Learning with Prior Knowledge: An Overview
Katharina Beckh
Sebastian Müller
Matthias Jakobs
Vanessa Toborek
Hanxiao Tan
Raphael Fischer
Pascal Welke
Sebastian Houben
Laura von Rueden
XAI
22
28
0
21 May 2021
Learning Intents behind Interactions with Knowledge Graph for
  Recommendation
Learning Intents behind Interactions with Knowledge Graph for Recommendation
Xiang Wang
Tinglin Huang
Dingxian Wang
Yancheng Yuan
Zhenguang Liu
Xiangnan He
Tat-Seng Chua
88
414
0
14 Feb 2021
Graph Neural Networks in Recommender Systems: A Survey
Graph Neural Networks in Recommender Systems: A Survey
Shiwen Wu
Fei Sun
Wentao Zhang
Xu Xie
Bin Cui
GNN
56
1,175
0
04 Nov 2020
TransINT: Embedding Implication Rules in Knowledge Graphs with
  Isomorphic Intersections of Linear Subspaces
TransINT: Embedding Implication Rules in Knowledge Graphs with Isomorphic Intersections of Linear Subspaces
So Yeon Min
Preethi Raghavan
Peter Szolovits
6
1
0
01 Jul 2020
Mobile Link Prediction: Automated Creation and Crowd-sourced Validation
  of Knowledge Graphs
Mobile Link Prediction: Automated Creation and Crowd-sourced Validation of Knowledge Graphs
M. Ballandies
Evangelos Pournaras
HAI
17
8
0
30 Jun 2020
What is Normal, What is Strange, and What is Missing in a Knowledge
  Graph: Unified Characterization via Inductive Summarization
What is Normal, What is Strange, and What is Missing in a Knowledge Graph: Unified Characterization via Inductive Summarization
Caleb Belth
Xinyi Zheng
Jilles Vreeken
Danai Koutra
25
43
0
23 Mar 2020
A Survey on Knowledge Graph-Based Recommender Systems
A Survey on Knowledge Graph-Based Recommender Systems
Qingyu Guo
Fuzhen Zhuang
Chuan Qin
Hengshu Zhu
Xing Xie
Hui Xiong
Qing He
26
727
0
28 Feb 2020
PRINCE: Provider-side Interpretability with Counterfactual Explanations
  in Recommender Systems
PRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender Systems
Azin Ghazimatin
Oana Balalau
Rishiraj Saha Roy
Gerhard Weikum
FAtt
21
97
0
19 Nov 2019
Explainable Recommendation: A Survey and New Perspectives
Explainable Recommendation: A Survey and New Perspectives
Yongfeng Zhang
Xu Chen
XAI
LRM
52
865
0
30 Apr 2018
1