首页 > 最新文献

World Wide Web-Internet and Web Information Systems最新文献

英文 中文
Efficient continuous kNN join over dynamic high-dimensional data 动态高维数据的高效连续kNN连接
3区 计算机科学 Q1 Computer Science Pub Date : 2023-09-11 DOI: 10.1007/s11280-023-01204-9
Nimish Ukey, Guangjian Zhang, Zhengyi Yang, Binghao Li, Wei Li, Wenjie Zhang
Abstract Given a user dataset $$varvec{U}$$ U and an object dataset $$varvec{I}$$ I , a kNN join query in high-dimensional space returns the $$varvec{k}$$ k nearest neighbors of each object in dataset $$varvec{U}$$ U from the object dataset $$varvec{I}$$ I . The kNN join is a basic and necessary operation in many applications, such as databases, data mining, computer vision, multi-media, machine learning, recommendation systems, and many more. In the real world, datasets frequently update dynamically as objects are added or removed. In this paper, we propose novel methods of continuous kNN join over dynamic high-dimensional data. We firstly propose the HDR $$^+$$ + Tree, which supports more efficient insertion, deletion, and batch update. Further observed that the existing methods rely on globally correlated datasets for effective dimensionality reduction, we then propose the HDR Forest. It clusters the dataset and constructs multiple HDR Trees to capture local correlations among the data. As a result, our HDR Forest is able to process non-globally correlated datasets efficiently. Two novel optimisations are applied to the proposed HDR Forest, including the precomputation of the PCA states of data items and pruning-based kNN recomputation during item deletion. For the completeness of the work, we also present the proof of computing distances in reduced dimensions of PCA in HDR Tree. Extensive experiments on real-world datasets show that the proposed methods and optimisations outperform the baseline algorithms of naive RkNN join and HDR Tree.
给定一个用户数据集$$varvec{U}$$ U和一个对象数据集$$varvec{I}$$ I,高维空间的kNN连接查询从对象数据集$$varvec{I}$$ I返回数据集$$varvec{U}$$ U中每个对象的$$varvec{k}$$ k个最近邻居。kNN连接是许多应用程序中基本且必要的操作,例如数据库、数据挖掘、计算机视觉、多媒体、机器学习、推荐系统等等。在现实世界中,随着对象的添加或删除,数据集经常动态更新。本文提出了动态高维数据上连续kNN连接的新方法。我们首先提出HDR $$^+$$ + Tree,它支持更高效的插入、删除和批量更新。进一步观察到现有方法依赖于全球相关数据集来有效降维,我们提出了HDR森林。它对数据集进行聚类,并构建多个HDR树来捕获数据之间的局部相关性。因此,我们的HDR森林能够有效地处理非全局相关的数据集。提出了两种新的优化方法,包括数据项PCA状态的预计算和数据项删除时基于修剪的kNN重新计算。为了工作的完整性,我们还提出了HDR树中PCA降维计算距离的证明。在真实数据集上的大量实验表明,所提出的方法和优化优于朴素RkNN连接和HDR树的基线算法。
{"title":"Efficient continuous kNN join over dynamic high-dimensional data","authors":"Nimish Ukey, Guangjian Zhang, Zhengyi Yang, Binghao Li, Wei Li, Wenjie Zhang","doi":"10.1007/s11280-023-01204-9","DOIUrl":"https://doi.org/10.1007/s11280-023-01204-9","url":null,"abstract":"Abstract Given a user dataset $$varvec{U}$$ <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:mrow> <mml:mi>U</mml:mi> </mml:mrow> </mml:math> and an object dataset $$varvec{I}$$ <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:mrow> <mml:mi>I</mml:mi> </mml:mrow> </mml:math> , a kNN join query in high-dimensional space returns the $$varvec{k}$$ <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:mrow> <mml:mi>k</mml:mi> </mml:mrow> </mml:math> nearest neighbors of each object in dataset $$varvec{U}$$ <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:mrow> <mml:mi>U</mml:mi> </mml:mrow> </mml:math> from the object dataset $$varvec{I}$$ <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:mrow> <mml:mi>I</mml:mi> </mml:mrow> </mml:math> . The kNN join is a basic and necessary operation in many applications, such as databases, data mining, computer vision, multi-media, machine learning, recommendation systems, and many more. In the real world, datasets frequently update dynamically as objects are added or removed. In this paper, we propose novel methods of continuous kNN join over dynamic high-dimensional data. We firstly propose the HDR $$^+$$ <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:msup> <mml:mrow /> <mml:mo>+</mml:mo> </mml:msup> </mml:math> Tree, which supports more efficient insertion, deletion, and batch update. Further observed that the existing methods rely on globally correlated datasets for effective dimensionality reduction, we then propose the HDR Forest. It clusters the dataset and constructs multiple HDR Trees to capture local correlations among the data. As a result, our HDR Forest is able to process non-globally correlated datasets efficiently. Two novel optimisations are applied to the proposed HDR Forest, including the precomputation of the PCA states of data items and pruning-based kNN recomputation during item deletion. For the completeness of the work, we also present the proof of computing distances in reduced dimensions of PCA in HDR Tree. Extensive experiments on real-world datasets show that the proposed methods and optimisations outperform the baseline algorithms of naive RkNN join and HDR Tree.","PeriodicalId":49356,"journal":{"name":"World Wide Web-Internet and Web Information Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135979768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Graph convolutional network for difficulty-controllable visual question generation 难控视觉问题生成的图卷积网络
3区 计算机科学 Q1 Computer Science Pub Date : 2023-09-11 DOI: 10.1007/s11280-023-01202-x
Feng Chen, Jiayuan Xie, Yi Cai, Zehang Lin, Qing Li, Tao Wang
{"title":"Graph convolutional network for difficulty-controllable visual question generation","authors":"Feng Chen, Jiayuan Xie, Yi Cai, Zehang Lin, Qing Li, Tao Wang","doi":"10.1007/s11280-023-01202-x","DOIUrl":"https://doi.org/10.1007/s11280-023-01202-x","url":null,"abstract":"","PeriodicalId":49356,"journal":{"name":"World Wide Web-Internet and Web Information Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135981209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Core maintenance for hypergraph streams 超图流的核心维护
IF 3.7 3区 计算机科学 Q1 Computer Science Pub Date : 2023-08-25 DOI: 10.1007/s11280-023-01196-6
Qi Luo, Dongxiao Yu, Z. Cai, Yanwei Zheng, Xiuzhen Cheng, Xuemin Lin
{"title":"Core maintenance for hypergraph streams","authors":"Qi Luo, Dongxiao Yu, Z. Cai, Yanwei Zheng, Xiuzhen Cheng, Xuemin Lin","doi":"10.1007/s11280-023-01196-6","DOIUrl":"https://doi.org/10.1007/s11280-023-01196-6","url":null,"abstract":"","PeriodicalId":49356,"journal":{"name":"World Wide Web-Internet and Web Information Systems","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78677064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Editor’s note: Special issue on Fairness-driven User Behavior Modelling and Analysis for Online Recommendation 编者按:关于公平驱动的用户行为建模和在线推荐分析的特刊
3区 计算机科学 Q1 Computer Science Pub Date : 2023-08-23 DOI: 10.1007/s11280-023-01203-w
{"title":"Editor’s note: Special issue on Fairness-driven User Behavior Modelling and Analysis for Online Recommendation","authors":"","doi":"10.1007/s11280-023-01203-w","DOIUrl":"https://doi.org/10.1007/s11280-023-01203-w","url":null,"abstract":"","PeriodicalId":49356,"journal":{"name":"World Wide Web-Internet and Web Information Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135520533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A subspace constraint based approach for fast hierarchical graph embedding 一种基于子空间约束的快速分层图嵌入方法
IF 3.7 3区 计算机科学 Q1 Computer Science Pub Date : 2023-08-16 DOI: 10.1007/s11280-023-01177-9
Minghe Yu, Xu Chen, Xinhao Gu, Hengyu Liu, Lun Du
{"title":"A subspace constraint based approach for fast hierarchical graph embedding","authors":"Minghe Yu, Xu Chen, Xinhao Gu, Hengyu Liu, Lun Du","doi":"10.1007/s11280-023-01177-9","DOIUrl":"https://doi.org/10.1007/s11280-023-01177-9","url":null,"abstract":"","PeriodicalId":49356,"journal":{"name":"World Wide Web-Internet and Web Information Systems","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2023-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83916866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A graph neural network incorporating spatio-temporal information for location recommendation 基于时空信息的位置推荐图神经网络
IF 3.7 3区 计算机科学 Q1 Computer Science Pub Date : 2023-08-15 DOI: 10.1007/s11280-023-01193-9
Yunliang Chen, G. Huang, Yuewei Wang, Xiaohui Huang, Geyong Min
{"title":"A graph neural network incorporating spatio-temporal information for location recommendation","authors":"Yunliang Chen, G. Huang, Yuewei Wang, Xiaohui Huang, Geyong Min","doi":"10.1007/s11280-023-01193-9","DOIUrl":"https://doi.org/10.1007/s11280-023-01193-9","url":null,"abstract":"","PeriodicalId":49356,"journal":{"name":"World Wide Web-Internet and Web Information Systems","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81778550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Attribute prediction of spatio-temporal graph nodes based on weighted graph diffusion convolution network 基于加权图扩散卷积网络的时空图节点属性预测
IF 3.7 3区 计算机科学 Q1 Computer Science Pub Date : 2023-08-15 DOI: 10.1007/s11280-023-01198-4
Linlin Ding, Haiyou Yu, Chen Zhu, Ji Ma, Yue Zhao
{"title":"Attribute prediction of spatio-temporal graph nodes based on weighted graph diffusion convolution network","authors":"Linlin Ding, Haiyou Yu, Chen Zhu, Ji Ma, Yue Zhao","doi":"10.1007/s11280-023-01198-4","DOIUrl":"https://doi.org/10.1007/s11280-023-01198-4","url":null,"abstract":"","PeriodicalId":49356,"journal":{"name":"World Wide Web-Internet and Web Information Systems","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72719840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Quantifying controversy from stance, sentiment, offensiveness and sarcasm: a fine-grained controversy intensity measurement framework on a Chinese dataset 从立场、情绪、攻击性和讽刺量化争议:基于中文数据集的细粒度争议强度测量框架
IF 3.7 3区 计算机科学 Q1 Computer Science Pub Date : 2023-08-09 DOI: 10.1007/s11280-023-01191-x
Haiyang Wang, Ye Wang, Xin Song, Bin Zhou, Xuechen Zhao, Feng Xie
{"title":"Quantifying controversy from stance, sentiment, offensiveness and sarcasm: a fine-grained controversy intensity measurement framework on a Chinese dataset","authors":"Haiyang Wang, Ye Wang, Xin Song, Bin Zhou, Xuechen Zhao, Feng Xie","doi":"10.1007/s11280-023-01191-x","DOIUrl":"https://doi.org/10.1007/s11280-023-01191-x","url":null,"abstract":"","PeriodicalId":49356,"journal":{"name":"World Wide Web-Internet and Web Information Systems","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2023-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86621415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
PDA-GNN: propagation-depth-aware graph neural networks for recommendation PDA-GNN:用于推荐的传播-深度感知图神经网络
IF 3.7 3区 计算机科学 Q1 Computer Science Pub Date : 2023-08-08 DOI: 10.1007/s11280-023-01200-z
Xin Wu, Hui He, Hongwei Yang, Yu Tai, Zejun Wang, Weizhe Zhang
{"title":"PDA-GNN: propagation-depth-aware graph neural networks for recommendation","authors":"Xin Wu, Hui He, Hongwei Yang, Yu Tai, Zejun Wang, Weizhe Zhang","doi":"10.1007/s11280-023-01200-z","DOIUrl":"https://doi.org/10.1007/s11280-023-01200-z","url":null,"abstract":"","PeriodicalId":49356,"journal":{"name":"World Wide Web-Internet and Web Information Systems","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2023-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91261793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
A large-scale holistic measurement of crowdsourced edge cloud platform 大规模整体测量的众包边缘云平台
IF 3.7 3区 计算机科学 Q1 Computer Science Pub Date : 2023-08-05 DOI: 10.1007/s11280-023-01201-y
Yicheng Feng, Shihao Shen, Mengwei Xu, Cheng Zhang, Xin Wang, Xiaofei Wang, Wenyu Wang, Victor C. M. Leung
{"title":"A large-scale holistic measurement of crowdsourced edge cloud platform","authors":"Yicheng Feng, Shihao Shen, Mengwei Xu, Cheng Zhang, Xin Wang, Xiaofei Wang, Wenyu Wang, Victor C. M. Leung","doi":"10.1007/s11280-023-01201-y","DOIUrl":"https://doi.org/10.1007/s11280-023-01201-y","url":null,"abstract":"","PeriodicalId":49356,"journal":{"name":"World Wide Web-Internet and Web Information Systems","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2023-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79014590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
World Wide Web-Internet and Web Information Systems
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1