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ORCID20th WISE 2019: Hong Kong
- Reynold Cheng, Nikos Mamoulis, Yizhou Sun, Xin Huang
:
Web Information Systems Engineering - WISE 2019 - 20th International Conference, Hong Kong, China, November 26-30, 2019, Proceedings. Lecture Notes in Computer Science 11881, Springer 2019, ISBN 978-3-030-34222-7
BlockChain and Crowdsourcing
- Qianli Xing, Weiliang Zhao, Jian Yang, Jia Wu, Qi Wang, Mei Wang:
GroExpert: A Novel Group-Aware Experts Identification Approach in Crowdsourcing. 3-17 - Michal Ostapowicz, Kamil Zbikowski:
Detecting Fraudulent Accounts on Blockchain: A Supervised Approach. 18-31 - Lu Xu, Wei Chen, Zhixu Li, Jiajie Xu, An Liu, Lei Zhao:
Locking Mechanism for Concurrency Conflicts on Hyperledger Fabric. 32-47 - Tianlu Yan, Wei Chen, Pengpeng Zhao, Zhixu Li, An Liu, Lei Zhao:
Handling Conditional Queries on Hyperledger Fabric Efficiently. 48-62
Machine Learning
- Ning Tang, Yanyan Shen, Junjie Yao:
Learning to Fuse Multiple Semantic Aspects from Rich Texts for Stock Price Prediction. 65-81 - Balasubramaniam Thirunavukarasu, Richi Nayak, Chau Yuen:
Transfer Learning via Feature Selection Based Nonnegative Matrix Factorization. 82-97 - Xiaofan Wang, Haiming Chen:
Learning Restricted Deterministic Regular Expressions with Counting. 98-114 - Yun Ma, Xudong Mao, Yangbin Chen, Qing Li:
Generating Adversarial Examples by Adversarial Networks for Semi-supervised Learning. 115-129
Deep Learning
- Yuling Ma, Jian Zong, Chaoran Cui, Chunyun Zhang, Qizheng Yang, Yilong Yin:
Dual Path Convolutional Neural Network for Student Performance Prediction. 133-146 - Rimmal Nadeem, Huijun Wu, Hye-young Paik, Chen Wang:
A Case Based Deep Neural Network Interpretability Framework and Its User Study. 147-161 - Yiu-Kai Ng, Urim Jung:
Personalized Book Recommendation Based on a Deep Learning Model and Metadata. 162-178 - Yong Xiao, Jianxun Liu, Rong Hu, Buqing Cao, Yingcheng Cao:
DINRec: Deep Interest Network Based API Recommendation Approach for Mashup Creation. 179-193
Recommender Systems
- Jihong Chen, Wei Chen, Jinjing Huang, Jinhua Fang, Zhixu Li, An Liu, Lei Zhao:
Co-purchaser Recommendation Based on Network Embedding. 197-211 - Quentin Grossetti, Cédric du Mouza, Nicolas Travers:
Community-Based Recommendations on Twitter: Avoiding the Filter Bubble. 212-227 - Cheng Hu, Peijian He, Chaofeng Sha, Junyu Niu:
Memory-Augmented Attention Network for Sequential Recommendation. 228-242 - Xu Luo, Chaofeng Sha, Zijing Tan, Junyu Niu:
Multi-head Attentive Social Recommendation. 243-258 - Nengjun Zhu, Jian Cao:
CPL: A Combined Framework of Pointwise Prediction and Learning to Rank for top-N Recommendations with Implicit Feedback. 259-273
Data Mining
- David Dupuis, Cédric du Mouza, Nicolas Travers, Gaël Chareyron:
RTIM: A Real-Time Influence Maximization Strategy. 277-292 - Yifeng Lu, Florian Richter, Thomas Seidl:
LSCMiner: Efficient Low Support Closed Itemsets Mining. 293-309 - Min Peng, Qingwen Liao, Weilong Hu, Gang Tian, Hua Wang, Yanchun Zhang:
Pattern Filtering Attention for Distant Supervised Relation Extraction via Online Clustering. 310-325 - Alireza Tabebordbar, Amin Beheshti, Boualem Benatallah, Moshe Chai Barukh:
Adaptive Rule Adaptation in Unstructured and Dynamic Environments. 326-340 - Ehtesham Zahoor, Uzma Bibi, Olivier Perrin:
Shadowed Authorization Policies - A Disaster Waiting to Happen? 341-355
Web-Based Applications
- Dong Chen, Xiao-Jun Wang, Bin Wang:
A Dynamic Decision-Making Method Based on Ensemble Methods for Complex Unbalanced Data. 359-372 - Peter de Lange, Petru Nicolaescu, Mario Rosenstengel, Ralf Klamma:
Collaborative Wireframing for Model-Driven Web Engineering. 373-388 - Saïd Jabbour, Yue Ma, Badran Raddaoui:
Handling Disagreement in Ontologies-Based Reasoning via Argumentation. 389-406 - Devki Nandan Jha, Zhenyu Wen, Yinhao Li, Michael Nee, Maciej Koutny, Rajiv Ranjan:
A Cost-Efficient Multi-cloud Orchestrator for Benchmarking Containerized Web-Applications. 407-423 - Fumiaki Saito, Yoshiyuki Shoji, Yusuke Yamamoto:
Highlighting Weasel Sentences for Promoting Critical Information Seeking on the Web. 424-440 - Elisa Margareth Sibarani, Simon Scerri:
Generating an Evolving Skills Network from Job Adverts for High-Demand Skillset Discovery. 441-457 - Yi-Kun Tang, Heyan Huang, Xuewen Shi, Xianling Mao:
Picture News Collection: A Dataset for Automatic Picture News Thumbnail Selection. 458-472 - Zhiqiang Zhong, Yang Zhang, Jun Pang:
A Graph-Based Approach to Explore Relationship Between Hashtags and Images. 473-488
Entity Linkage and Disambiguation
- Remy Delanaux, Angela Bonifati, Marie-Christine Rousset, Romuald Thion:
RDF Graph Anonymization Robust to Data Linkage. 491-506 - Yiting Wang, Zhixu Li, Qiang Yang, Zhigang Chen, An Liu, Guanfeng Liu, Lei Zhao:
WebEL: Improving Entity Linking with Extra Web Contexts. 507-522 - Kexuan Xin, Wen Hua, Yu Liu, Xiaofang Zhou:
Entity Disambiguation Based on Parse Tree Neighbours on Graph Attention Network. 523-537 - Hao Yan, Hao Peng, Chen Li, Jianxin Li, Lihong Wang:
Bibliographic Name Disambiguation with Graph Convolutional Network. 538-551
Graph Learning
- Kaisheng Gao, Jing Zhang, Cangqi Zhou:
Semi-supervised Graph Embedding for Multi-label Graph Node Classification. 555-567 - Zhao Li, Xin Wang, Jianxin Li, Qingpeng Zhang:
Structural Role Enhanced Attributed Network Embedding. 568-582 - Yu Liu, Wen Hua, Kexuan Xin, Xiaofang Zhou:
Context-Aware Temporal Knowledge Graph Embedding. 583-598 - Yongye Qian, Pengpeng Zhao, Zhixu Li, Junhua Fang, Lei Zhao, Victor S. Sheng, Zhiming Cui:
Interaction Graph Neural Network for News Recommendation. 599-614
Knowledge Graphs
- Yuyan Chen, Lei Zou, Zongyue Qin:
Gated Relational Graph Neural Network for Semi-supervised Learning on Knowledge Graphs. 617-629 - Chenpeng Fu, Zhixu Li, Qiang Yang, Zhigang Chen, Junhua Fang, Pengpeng Zhao, Jiajie Xu:
Multiple Interaction Attention Model for Open-World Knowledge Graph Completion. 630-644 - Baozhu Liu, Xin Wang, Yajun Yang, Yunpeng Chai:
OntoDS: An Ontology-Aware Distributed Storage Scheme for RDF Graphs. 645-659 - Ji Zhang, Leonard Tan, Xiaohui Tao, Dianwei Wang, Josh Jia-Ching Ying, Xin Wang:
Learning Relational Fractals for Deep Knowledge Graph Embedding in Online Social Networks. 660-674
Graph Mining
- Jinbin Huang, Xin Huang, Yuanyuan Zhu, Jianliang Xu:
Parameter-Free Structural Diversity Search. 677-693 - Boge Liu, Fan Zhang, Chen Zhang, Wenjie Zhang, Xuemin Lin:
CoreCube: Core Decomposition in Multilayer Graphs. 694-710 - Maram Alsahafy, Lijun Chang:
Computing Maximum Independent Sets over Large Sparse Graphs. 711-727 - Longxu Sun, Xin Huang, Rong-Hua Li, Jianliang Xu:
Fast Algorithms for Intimate-Core Group Search in Weighted Graphs. 728-744
Text Mining
- Nhat X. T. Le, Neal E. Young, Vagelis Hristidis:
Unsupervised Ontology- and Sentiment-Aware Review Summarization. 747-762 - Aleksandra Nabozny, Bartlomiej Balcerzak, Danijel Korzinek:
Enriching the Context: Methods of Improving the Non-contextual Assessment of Sentence Credibility. 763-778 - Alireza Tabebordbar, Amin Beheshti, Boualem Benatallah:
ConceptMap: A Conceptual Approach for Formulating User Preferences in Large Information Spaces. 779-794 - Jiahua Du, Jia Rong, Hua Wang, Yanchun Zhang:
Helpfulness Prediction for Online Reviews with Explicit Content-Rating Interaction. 795-809
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