研飞ivySCI (青藤学术）

World Wide Web

短名
Journal Impact	2.64
国际分区	COMPUTER SCIENCE, SOFTWARE ENGINEERING(Q2)
期刊索引	SCI Q2中科院 3 区

ISSN	1386-145X, 1573-1413
h-index	58
国内分区	计算机科学(3区)计算机科学计算机软件工程(3区)计算机科学计算机信息系统(4区)

World Wide Web: Internet and Web Information Systems (WWW) is an international, archival, peer-reviewed journal which covers all aspects of the World Wide Web, including issues related to architectures, applications, Internet and Web information systems, and communities. The purpose of this journal is to provide an international forum for researchers, professionals, and industrial practitioners to share their rapidly developing knowledge and report on new advances in Internet and web-based systems. The journal also focuses on all database- and information-system topics that relate to the Internet and the Web, particularly on ways to model, design, develop, integrate, and manage these systems. Appearing quarterly, the journal publishes (1) papers describing original ideas and new results, (2) vision papers, (3) reviews of important techniques in related areas, (4) innovative application papers, and (5) progress reports on major international research projects. Papers published in the WWW journal deal with subjects directly or indirectly related to the World Wide Web. The WWW journal provides timely, in-depth coverage of the most recent developments in the World Wide Web discipline to enable anyone involved to keep up-to-date with this dynamically changing technology.

期刊主页投稿网址

涉及主题	计算机科学人工智能万维网数学操作系统程序设计语言情报检索工程类机器学习数据挖掘法学政治学哲学生物物理统计计算机网络
出版信息	出版商: Springer New York，出版周期: Quarterly，期刊类型: journal
基本数据	创刊年份: 1998，原创研究文献占比: 99.29%，自引率:7.40%， Gold OA占比: 16.14%
平均审稿周期	网友分享经验：平均6.0个月
平均录用比例	网友分享经验：容易

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pFind: Privacy-preserving lost object finding in vehicular crowdsensing

2024-9-1

Use of prompt-based learning for code-mixed and code-switched text classification

2024-9-1

Drug traceability system based on semantic blockchain and on a reputation method

2024-9-1

A SHAP-based controversy analysis through communities on Twitter

2024-9-1

Category-aware self-supervised graph neural network for session-based recommendation

2024-9-1

A survey on large language models for recommendation

2024-8-22

MvHAAN: multi-view hierarchical attention adversarial network for person re-identification

2024-8-22

LLMs for knowledge graph construction and reasoning: recent capabilities and future opportunities

2024-8-21

Multi-stage enhanced representation learning for document reranking based on query view

2024-8-21

Hypernetwork-driven centralized contrastive learning for federated graph classification

2024-8-16

Joint marginal and central sample learning for domain adaptation

2024-8-13

Durable reverse top-k queries on time-varying preference

2024-8-2

Multi-hop neighbor fusion enhanced hierarchical transformer for multi-modal knowledge graph completion

2024-7-19

Open knowledge base canonicalization with multi-task learning

2024-7-18

Multi-view context awareness based transport stay hotspot recognizing

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FSSDroid: Feature subset selection for Android malware detection

2024-7-16

Unveiling the impact of employee-customer familiarity on customer purchase intentions: an empirical investigation within the realm of web-based date analytics

2024-7-1

MIM: A multiple integration model for intrusion detection on imbalanced samples

2024-7-1

Bridging distribution gaps: invariant pattern discovery for dynamic graph learning

2024-7-1

Efficient base station deployment in specialized regions with splitting particle swarm optimization algorithm

2024-7-1

Editorial on the Special Issue of the World Wide Web journal with selected papers from the 22nd International Conference on Web Information Systems Engineering (WISE)

2024-7-1

Hyper-relational knowledge graph neural network for next POI recommendation

2024-7-1

Hierarchical adaptive evolution framework for privacy-preserving data publishing

2024-7-1

When large language models meet personalization: perspectives of challenges and opportunities

2024-6-28

Federated learning for supervised cross-modal retrieval

2024-6-26

DPHM-Net:de-redundant multi-period hybrid modeling network for long-term series forecasting

2024-6-22

Exploring highly concise and accurate text matching model with tiny weights

2024-6-20

Multi-temporal heterogeneous graph learning with pattern-aware attention for industrial chain risk detection

2024-6-15

Using knowledge graphs for audio retrieval: a case study on copyright infringement detection

2024-6-11

A heterogeneous graph-based semi-supervised learning framework for access control decision-making

2024-5-24

Cloud storage cost: a taxonomy and survey

2024-5-24

PopGR: Popularity reweighting for debiasing in group recommendation

2024-5-17

Transferable universal adversarial perturbations against speaker recognition systems

2024-5-1

The medium is the message: toxicity declines in structured vs unstructured online deliberations

2024-5-1

Foundation models matter: federated learning for multi-center tuberculosis diagnosis via adaptive regularization and model-contrastive learning

2024-5-1

VR-GNN: variational relation vector graph neural network for modeling homophily and heterophily

2024-5-1

A supervised contrastive learning-based model for image emotion classification

2024-4-24

OntoMedRec: Logically-pretrained model-agnostic ontology encoders for medication recommendation

2024-4-23

GroupMO: a memory-augmented meta-optimized model for group recommendation

2024-4-18

Meta-path automatically extracted from heterogeneous information network for recommendation

2024-4-13

Generalizable inductive relation prediction with causal subgraph

2024-4-12

Efficient processing of coverage centrality queries on road networks

2024-4-12

Complex query answering over knowledge graphs foundation model using region embeddings on a lie group

2024-4-11

Towards efficient simulation-based constrained temporal graph pattern matching

2024-4-3

High-level preferences as positive examples in contrastive learning for multi-interest sequential recommendation

2024-3-1

Efficient feature redundancy reduction for image denoising

2024-3-1

Group-to-group recommendation with neural graph matching

2024-3-1

Efficiently estimating node influence through group sampling over large graphs

2024-2-29

A relation-aware representation approach for the question matching system

2024-2-26

A reinforcement learning-based approach to testing GUI of moblie applications

2024-2-22

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最新文章

pFind: Privacy-preserving lost object finding in vehicular crowdsensing

Use of prompt-based learning for code-mixed and code-switched text classification

Drug traceability system based on semantic blockchain and on a reputation method

A SHAP-based controversy analysis through communities on Twitter

Category-aware self-supervised graph neural network for session-based recommendation

A survey on large language models for recommendation

MvHAAN: multi-view hierarchical attention adversarial network for person re-identification

LLMs for knowledge graph construction and reasoning: recent capabilities and future opportunities

Multi-stage enhanced representation learning for document reranking based on query view

Hypernetwork-driven centralized contrastive learning for federated graph classification

Joint marginal and central sample learning for domain adaptation

Durable reverse top-k queries on time-varying preference

Multi-hop neighbor fusion enhanced hierarchical transformer for multi-modal knowledge graph completion

Open knowledge base canonicalization with multi-task learning

Multi-view context awareness based transport stay hotspot recognizing

FSSDroid: Feature subset selection for Android malware detection

Unveiling the impact of employee-customer familiarity on customer purchase intentions: an empirical investigation within the realm of web-based date analytics

MIM: A multiple integration model for intrusion detection on imbalanced samples

Bridging distribution gaps: invariant pattern discovery for dynamic graph learning

Efficient base station deployment in specialized regions with splitting particle swarm optimization algorithm

Editorial on the Special Issue of the World Wide Web journal with selected papers from the 22nd International Conference on Web Information Systems Engineering (WISE)

Hyper-relational knowledge graph neural network for next POI recommendation

Hierarchical adaptive evolution framework for privacy-preserving data publishing

When large language models meet personalization: perspectives of challenges and opportunities

Federated learning for supervised cross-modal retrieval

DPHM-Net:de-redundant multi-period hybrid modeling network for long-term series forecasting

Exploring highly concise and accurate text matching model with tiny weights

Multi-temporal heterogeneous graph learning with pattern-aware attention for industrial chain risk detection

Using knowledge graphs for audio retrieval: a case study on copyright infringement detection

A heterogeneous graph-based semi-supervised learning framework for access control decision-making

Cloud storage cost: a taxonomy and survey

PopGR: Popularity reweighting for debiasing in group recommendation

Transferable universal adversarial perturbations against speaker recognition systems

The medium is the message: toxicity declines in structured vs unstructured online deliberations

Foundation models matter: federated learning for multi-center tuberculosis diagnosis via adaptive regularization and model-contrastive learning

VR-GNN: variational relation vector graph neural network for modeling homophily and heterophily

A supervised contrastive learning-based model for image emotion classification

OntoMedRec: Logically-pretrained model-agnostic ontology encoders for medication recommendation

GroupMO: a memory-augmented meta-optimized model for group recommendation

Meta-path automatically extracted from heterogeneous information network for recommendation

Generalizable inductive relation prediction with causal subgraph

Efficient processing of coverage centrality queries on road networks

Complex query answering over knowledge graphs foundation model using region embeddings on a lie group

Towards efficient simulation-based constrained temporal graph pattern matching

High-level preferences as positive examples in contrastive learning for multi-interest sequential recommendation

Efficient feature redundancy reduction for image denoising

Group-to-group recommendation with neural graph matching

Efficiently estimating node influence through group sampling over large graphs

A relation-aware representation approach for the question matching system

A reinforcement learning-based approach to testing GUI of moblie applications

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