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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"

12 / 12 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
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
40
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 Bill Xu
Enhong Chen
29
0
0
19 May 2024
AGI for Agriculture
AGI for Agriculture
Guoyu Lu
Sheng R. Li
Gengchen Mai
Jin Sun
Dajiang Zhu
...
R. Xu
Daniel Petti
Changying Li
Tianming Liu
Changying Li
AI4CE
45
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
25
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
16
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
28
17
0
26 Oct 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
413
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
1,174
0
04 Nov 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
12
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
23
43
0
23 Mar 2020
Explainable Recommendation: A Survey and New Perspectives
Explainable Recommendation: A Survey and New Perspectives
Yongfeng Zhang
Xu Chen
XAI
LRM
32
863
0
30 Apr 2018
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