Titlebook: Web and Big Data. APWeb-WAIM 2023 International Workshops; KGMA 2023 and SemiBD Xiangyu Song,Ruyi Feng,Geyong Min Conference proceedings 20

Washington

书目名称Web and Big Data. APWeb-WAIM 2023 International Workshops影响因子(影响力)




书目名称Web and Big Data. APWeb-WAIM 2023 International Workshops影响因子(影响力)学科排名




书目名称Web and Big Data. APWeb-WAIM 2023 International Workshops网络公开度




书目名称Web and Big Data. APWeb-WAIM 2023 International Workshops网络公开度学科排名




书目名称Web and Big Data. APWeb-WAIM 2023 International Workshops被引频次




书目名称Web and Big Data. APWeb-WAIM 2023 International Workshops被引频次学科排名




书目名称Web and Big Data. APWeb-WAIM 2023 International Workshops年度引用




书目名称Web and Big Data. APWeb-WAIM 2023 International Workshops年度引用学科排名




书目名称Web and Big Data. APWeb-WAIM 2023 International Workshops读者反馈




书目名称Web and Big Data. APWeb-WAIM 2023 International Workshops读者反馈学科排名

Omnipotent

https://doi.org/10.1007/978-981-97-2991-3graph data, RDF, social networks; natural language processing; knowledge graphs; representation learnin

Assignment

Conference proceedings 2024e in Wuhan, China, during October 6-8, 2023. ..The 7 full papers included in this book were carefully reviewed and selected from 15 papers submitted to these workshops. They focus on new research approaches on the theory, design, and implementation of data management systems. .

Ganglion

亚当心理阴影

Web and Big Data. APWeb-WAIM 2023 International Workshops978-981-97-2991-3Series ISSN 1865-0929 Series E-ISSN 1865-0937

谈判

Dong Li,Zhenshuo Liu,Zhanghui Wang,Jin Liu,Yue Kou,Lingling Zhang

Shuttle

Yuefeng Du,Chang Lin,Tingting Liu,Xiaoguang Li,Wei Wei,Shanshan Gao

大沟

Web and Big Data. APWeb-WAIM 2023 International WorkshopsKGMA 2023 and SemiBD

tangle

Negation: An Effective Method to Generate Hard Negativesdates are produced by replacing the entity with congeners in each triple. In order to make negative knowledge more confusing and avoid false positive examples, we design two filtering steps to remove the amount of meaningless candidates. We empirically evaluate our proposed method Negation on the do

可用

Diversified Group Recommendation Model for Social Networkbetter meet the diverse needs of users and groups. We propose a group recommendation strategy based on score fusion, which can better meet the diverse needs of users and groups. Firstly, a matrix factorization-based individual rating prediction method and a Bayesian model-based individual rating pre