Important Dates (all in 23:59 GMT)
Abstract submission (extended): 15 June, 2019
Full paper submission (extended): 22 June, 2019
Workshop proposals (extended): 5 July, 2019
Workshop paper submission: 31 August, 2019
Demo submission: 31 August, 2019
Conference paper notification: 1 August, 2019
Workshop paper notification: 30 September, 2019
Camera-ready paper submission: 31 August, 2019
Conference author registration: 20 September, 2019
20th International Conference on Web Information Systems Engineering (WISE 2019)
26-30 November 2019
Hong Kong, China
Welcome to WISE 2019

 

List of Accepted Papers

  • GroExpert: A Novel Group-aware Experts Identification Approach in Crowdsourcing
    Qianli Xing, Weiliang Zhao, Jian Yang, Jia Wu and Qi Wang
  • Detecting Fraudulent Accounts on Blockchain: A Supervised Approach
    Kamil Zbikowski and Michal Ostapowicz
  • Locking Mechanism for Concurrency Conicts on Hyperledger Fabric
    Lu Xu, Wei Chen, Zhixu Li, Jiajie Xu, An Liu and Lei Zhao
  • Handling Conditional Queries on Hyperledger Fabric Efficiently
    Tianlu Yan, Wei Chen, Pengpeng Zhao, Zhixu Li, An Liu and Lei Zhao
  • Learning to fuse multiple semantic aspects from rich texts for stock price prediction
    Ning Tang, Yanyan Shen and Junjie Yao
  • Transfer Learning via Feature Selective Nonnegative Matrix Factorization
    Thirunavukarasu Balasubramaniam, Richi Nayak and Chau Yuen
  • Actively Semi-Supervised Collaborative Filtering
    Wei Cui and Jun Wu
  • Dual Path Convolutional Neural Network for Student Performance Prediction
    Yuling Ma, Jian Zong, Chaoran Cui, Yilong Yin and Chunyun Zhang
  • Learning a Descriptive Subclass of Deterministic Regular Expression with Counting
    Xiaofan Wang
  • A Case based Deep Neural Network Interpretability Framework and its User Study
    Rimmal Nadeem, Huijun Wu, Hye-Young Paik and Chen Wang
  • Generating Adversarial Examples by Adversarial Networks for Semi-Supervised Learning
    Yun Ma, Xudong Mao, Yangbin Chen and Qing Li
  • Co-purchaser Recommendation Based on Network Embedding
    Jihong Chen, Wei Chen, Jinjing Huang, Jinhua Fang, Zhixu Li, An Liu and Lei Zhao
  • Auxiliary Network Based on Neighbor User Reviews
    Xingjie Feng, Yunze Zeng and Guiying Cui
  • Community-based Recommendations on Twitter: Avoiding The Filter Bubble
    Quentin Grossetti, Cedric Du Mouza and Nicolas Travers
  • Memory-Augmented Attention Network for Sequential Recommendation
    Cheng Hu, Peijian He, Chaofeng Sha and Junyu Niu
  • Multi-head Attentive Social Recommendation
    Xu Luo, Chaofeng Sha and Junyu Niu
  • CPL: A Combined Framework of Pointwise Prediction and Learning to Rank for top-N Recommendations with Implicit Feedback
    Nengjun Zhu and Jian Cao
  • Personalized Book Recommendation Based on a Deep Learning Model and Metadata
    Yiu-Kai Ng and Urim Jung
  • Interaction Graph Neural Network for News Recommendation
    Yongye Qian, Pengpeng Zhao, Zhixu Li, Junhua Fang, Lei Zhao, Victor S.Sheng and Zhiming Cui
  • DINRec: Deep Interest Network based API Recommendation Approach for Mashup Creation
    Yong Xiao, Jianxun Liu, Rong Hu, Yingcheng Cao and Buqing Cao
  • RTIM: a Real-Time Inuence Maximization Strategy
    David Dupuis, Cedric Du Mouza, Nicolas Travers and Gael Chareyron
  • LSCMiner: Efficient Low Support Closed Itemset Mining
    Yifeng Lu, Florian Richter and Thomas Seidl
  • Pattern Filtering Attention for Distant Supervised Relation Extraction via Online Clustering
    Min Peng, Qingwen Liao, Weilong Hu, Gang Tian, Hua Wang and Yanchun Zhang
  • Adaptive Rule Adaptation in Unstructured and Dynamic Environments
    Alireza Tabebordbar, Amin Beheshti, Boualem Benatallah and Moshe Chai Barukh
  • Shadowed authorization policies - A disaster waiting to happen?
    Ehtesham Zahoor, Uzma Bibi and Olivier Perrin
  • A Dynamic Decision-Making Framework Based on Ensemble Methods for Complex Imbalance Data
    Dong Chen, Xiao-Jun Wang and Bin Wang
  • Collaborative Wireframing for Model-Driven Web Engineering
    Peter de Lange, Petru Nicolaescu, Mario Rosenstengel and Ralf Klamma
  • Helpfulness Prediction for Online Reviews with Explicit Content-rating Interaction
    Jiahua Du, Jia Rong, Hua Wang and Yanchun Zhang
  • Handling Disagreement in Ontologies-based Reasoning via Argumentation
    Said Jabbour, Yue Ma and Badran Raddaoui
  • A cost-efficient multi-cloud orchestrator for benchmarking containerized web-applications
    Devki Nandan Jha, Zhenyu Wen, Yinhao Li, Michael Nee, Maciej Koutny and Rajiv Ranjan
  • WebEL: Improving Entity Linking with Extra Web Contexts
    Yiting Wang, Zhixu Li, Qiang Yang, Zhigang Chen, An Liu, Guanfeng Liu and Lei Zhao
  • Highlighting Weasel Sentences for Promoting Critical Information Seeking on the Web
    Fumiaki Saito, Shoji Yoshiyuki and Yusuke Yamamoto
  • Skills Network Evolution Tracking from web-posted Job Adverts for Skills in-demand Discovery
    Elisa Margareth Sibarani and Simon Scerri
  • Picture News Collection: A Dataset for Automatic Picture News Thumbnail Selection
    Yi-Kun Tang, Heyan Huang, Xian-Ling Mao and Xuewen Shi
  • A Graph-based Approach to Explore Relationship between Hashtags and Images
    Zhiqiang Zhong, Yang Zhang and Jun Pang
  • Semi-Supervised Graph Embedding for Multi-Label Graph Node Classification
    Kaisheng Gao, Jing Zhang and Cangqi Zhou
  • Structural Role Enhanced Attributed Network Embedding
    Zhao Li and Xin Wang
  • Entity Disambiguation Based on Parse Tree Neighbours on Graph Attention Network
    Kexuan Xin, Wen Hua, Yu Liu and Xiaofang Zhou
  • Bibliographic Name Disambiguation with Graph Convolutional Network
    Hao Yan, Hao Peng, Chen Li, Jianxin Li and Lihong Wang
  • Gated Relational Graph Neural Network for Semi-supervised Learning on Knowledge Graphs
    Yuyan Chen, Lei Zou and Zongyue Qin
  • RDF graph anonymization robust to data linkage
    Remy Delanaux, Angela Bonifati, Marie-Christine Rousset and Romuald Thion
  • Multiple Interaction Attention Model for Open-World Knowledge Graph Completion
    Chenpeng Fu, Zhixu Li, Qiang Yang, Zhigang Chen, Junhua Fang, Pengpeng Zhao and Jiajie Xu
  • OntoDSAn Ontology-Aware Distributed Storage Scheme for Knowledge Graphs
    Baozhu Liu, Xin Wang, Yajun Yang and Yunpeng Chai
  • Learning Relational Fractals For Deep Knowledge Graph Embedding In Online Social Networks
    Ji Zhang, Leonard Tan and Xiaohui Tao
  • Context-Aware Temporal Knowledge Graph Embedding
    Yu Liu, Wen Hua, Kexuan Xin and Xiaofang Zhou
  • Parameter-Free Structural Diversity Search
    Jinbin Huang, Xin Huang, Yuanyuan Zhu and Jianliang Xu
  • CoreCube: Core Decomposition in Multilayer Graphs
    Boge Liu, Fan Zhang, Xuemin Lin and Wenjie Zhang
  • Computing Maximum Independent Sets over Large Sparse Graphs
    Maram Saad M Alsahafy and Lijun Chang
  • Fast Algorithms for Intimate-Core Group Search in Weighted Graphs
    Longxu Sun, Xin Huang, Rong-Hua Li and Jianliang Xu
  • Unsupervised Ontology- and Sentiment-aware Review Summarization
    Nhat Le, Neal Young and Vagelis Hristidis
  • Enriching the Context: Methods of Improving the Non-contextual Assessment of Sentence Credibility
    Aleksandra Nabozny, Bart lomiej Balcerzak, Adam Wierzbicki and Danijel Korzinek
  • ConceptMap: A Conceptual Approach for Formulating User Preferences in Large Information Spaces
    Alireza Tabebordbar, Amin Beheshti and Boualem Benatallah

 

Sponsors

Springer

HP

HP

HP