Web information systems engineering -- WISE 2019 : 20th International Conference, Hong Kong, China, November 26-30, 2019, Proceedings / Reynold Cheng, Nikos Mamoulis, Yizhou Sun, Xin Huang (eds.).

International conference proceedings.

Includes author index.

Online resource; title from PDF title page (SpringerLink, viewed November 19, 2019).

This book constitutes the proceedings of the 20th International Conference on Web Information Systems Engineering, WISE 2019, held in Hong Kong, China, in November 2019. The 50 full papers presented were carefully reviewed and selected from 211 submissions. The papers are organized in the following topical sections: blockchain and crowdsourcing; machine learning; deep learning; recommender systems, data mining; web-based applications; entity linkage and disambiguation; graph learning; knowledge graphs; graph mining; and text mining. -- Provided by publisher.

[I]. BlockChain and Crowdsourcing: GroExpert: A Novel Group-Aware Experts Identification Approach in Crowdsourcing / Qianli Xing, Weiliang Zhao, Jian Yang, Jia Wu, Qi Wang, and Mei Wang -- Detecting Fraudulent Accounts on Blockchain: A Supervised Approach / Michał Ostapowicz and Kamil Żbikowski -- Locking Mechanism for Concurrency Conflicts 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.

[II]. Machine Learning: Learning to Fuse Multiple Semantic Aspects from Rich Texts for Stock Price Prediction / Ning Tang, Yanyan Shen, and Junjie Yao -- Transfer Learning via Feature Selection Based Nonnegative Matrix Factorization / Thirunavukarasu Balasubramaniam, Richi Nayak, and Chau Yuen -- Learning Restricted Deterministic Regular Expressions with Counting / Xiaofan Wang and Haiming Chen -- Generating Adversarial Examples by Adversarial Networks for Semi-supervised Learning / Yun Ma, Xudong Mao, Yangbin Chen, and Qing Li.

[III]. Deep Learning: Dual Path Convolutional Neural Network for Student Performance Prediction / Yuling Ma, Jian Zong, Chaoran Cui, Chunyun Zhang, Qizheng Yang, and Yilong Yin -- A Case Based Deep Neural Network Interpretability Framework and Its User Study / Rimmal Nadeem, Huijun Wu, Hye-young Paik, and Chen Wang -- Personalized Book Recommendation Based on a Deep Learning Model and Metadata / Yiu-Kai Ng and Urim Jung -- DINRec: Deep Interest Network Based API Recommendation Approach for Mashup Creation / Yong Xiao, Jianxun Liu, Rong Hu, Buqing Cao, and Yingcheng Cao.

[IV]. Recommender System: Co-purchaser Recommendation Based on Network Embedding / Jihong Chen, Wei Chen, Jinjing Huang, Jinhua Fang, Zhixu Li, An Liu, and Lei Zhao -- Community-Based Recommendations on Twitter: Avoiding the Filter Bubble / Quentin Grossetti, Cédric du Mouza, and Nicolas Travers -- Memory-Augmented Attention Network for Sequential Recommendation / Multi-head Attentive Social Recommendation / Xu Luo, Chaofeng Sha, Zijing Tan, 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 .

[V]. Data mining: RTIM: A Real-Time Influence Maximization Strategy / David Dupuis, Cédric du Mouza, Nicolas Travers, and Gaël Chareyron -- LSCMiner: Efficient Low Support Closed Itemsets 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.

[VI]. Web-Based Applications: A Dynamic Decision-Making Method Based on Ensemble Methods for Complex Unbalanced 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 -- 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 -- Highlighting Weasel Sentences for Promoting Critical Information Seeking on the Web / Fumiaki Saito, Yoshiyuki Shoji, and Yusuke Yamamoto -- Generating an Evolving Skills Network from Job Adverts for High-Demand Skillset Discovery / Elisa Margareth Sibarani and Simon Scerri -- Picture News Collection: A Dataset for Automatic Picture News Thumbnail Selection / Yi-Kun Tang, Heyan Huang, Xuewen Shi, and Xian-Ling Mao -- A Graph-Based Approach to Explore Relationship Between Hashtags and Images / Zhiqiang Zhong, Yang Zhang, and Jun Pang.

[VII]. Entity Linkage and Disambiguation: RDF Graph Anonymization Robust to Data Linkage / Remy Delanaux, Angela Bonifati, Marie-Christine Rousset, and Romuald Thion -- WebEL: Improving Entity Linking with Extra Web Contexts / Yiting Wang, Zhixu Li, Qiang Yang, Zhigang Chen, An Liu, Guanfeng Liu, and Lei Zhao -- 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.

[VIII]. Graph Learning: 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, Xin Wang, Jianxin Li, and Qingpeng Zhang -- Context-Aware Temporal Knowledge Graph Embedding / Yu Liu, Wen Hua, Kexuan Xin, and Xiaofang Zhou -- Interaction Graph Neural Network for News Recommendation / Yongye Qian, Pengpeng Zhao, Zhixu Li, Junhua Fang, Lei Zhao, Victor S. Sheng, and Zhiming Cui.

[IX]. Knowledge Graphs: Gated Relational Graph Neural Network for Semi-supervised Learning on Knowledge Graphs / Yuyan Chen, Lei Zou, and Zongyue Qin -- 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 -- OntoDS: An Ontology-Aware Distributed Storage Scheme for RDF 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, Xiaohui Tao, Dianwei Wang, Josh Jia-Ching Ying, and Xin Wang.

[X]. Graph Mining: Parameter-Free Structural Diversity Search / Jinbin Huang, Xin Huang, Yuanyuan Zhu, and Jianliang Xu -- CoreCube: Core Decomposition in Multilayer Graphs / Boge Liu, Fan Zhang, Chen Zhang, Wenjie Zhang, and Xuemin Lin -- Computing Maximum Independent Sets over Large Sparse Graphs / Maram Alsahafy and Lijun Chang -- Fast Algorithms for Intimate-Core Group Search in Weighted Graphs / Longxu Sun, Xin Huang, Rong-Hua Li, and Jianliang Xu.

[XI]. Text Mining: Unsupervised Ontology- and Sentiment-Aware Review Summarization / Nhat X. T. Le, Neal Young, and Vagelis Hristidis -- Enriching the Context: Methods of Improving the Non-contextual Assessment of Sentence Credibility / Aleksandra Nabożny, Bartłomiej Balcerzak, and Danijel Koržinek -- ConceptMap: A Conceptual Approach for Formulating User Preferences in Large Information Spaces / Alireza Tabebordbar, Amin Beheshti, and Boualem Benatallah -- Helpfulness Prediction for Online Reviews with Explicit Content-Rating Interaction / Jiahua Du, Jia Rong, Hua Wang, and Yanchun Zhang.