Knowledge Graph-based Personalization
Knowledge Graph-Based Personalization is a personalization method that leverages structured knowledge from knowledge graphs to enhance user-specific search results by integrating semantic relationships and contextual information distinct to individual user profiles.
39
Publications
1K
Citations
129
Authors
59
Institutions
Publications per year
2017–2026
34
Parents
39
KRED: Knowledge-Aware Document Representation for News Recommendations
Danyang Liu, Jianxun Lian, Shiyin Wang et al. · 2020 · 99 citations · Full text
A novel knowledge graph embedding based API recommendation method for Mashup development
Xin Wang, Xiao Liu, Jin Liu et al. · World Wide Web · 2021 · 52 citations · Full text
Computing, Data Science, Data Mining +15
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Donghua University
Shanghai, China
2 h-index
8 publications
201 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
2 h-index
4 publications
190 citations
Tsinghua University
Beijing, China
2 h-index
3 publications
189 citations
Microsoft (United States)
Redmond, United States
2 h-index
3 publications
223 citations

The University of Melbourne
Melbourne, Australia
2 h-index
3 publications
125 citations
University of Siegen
Siegen, Germany
2 h-index
9 publications
142 citations

Technische Informationsbibliothek (TIB)
Hanover, Germany
1 h-index
1 publications
18 citations
Nanyang Technological University
Singapore, Singapore
1 h-index
2 publications
112 citations
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1 publications · 30 citations
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1 publications · 21 citations
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TODS · 1 publications · 28 citations
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1 publications · 21 citations
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1 publications · 18 citations
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