
Web Information Systems Engineering - WISE 2017
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The two-volume set LNCS 10569 and LNCS 10570 constitutes the proceedings of the 18th International Conference on Web Information Systems Engineering, WISE 2017, held in Puschino, Russia, in October 2017.
The 49 full papers and 24 short papers presented were carefully reviewed and selected from 195 submissions. The papers cover a wide range of topics such as microblog data analysis, social network data analysis, data mining, pattern mining, event detection, cloud computing, query processing, spatial and temporal data, graph theory, crowdsourcing and crowdsensing, web data model, language processing and web protocols, web-based applications, data storage and generator, security and privacy, sentiment analysis, and recommender systems.
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Content
- Intro
- Preface
- Organization
- Contents -- Part II
- Contents -- Part I
- Crowdsourcing and Crowdsensing
- Real-Time Target Tracking Through Mobile Crowdsensing
- 1 Introduction
- 2 Related Work
- 3 System Model
- 3.1 Preparation
- 3.2 Overview of Three Kinds of Reports
- 3.3 Start Tracking
- 3.4 Text Report
- 3.5 Live Photo Report
- 3.6 Camera Report
- 4 Simulation
- 5 Conclusion
- References
- Crowdsourced Entity Alignment: A Decision Theory Based Approach
- 1 Introduction
- 2 Data Model and Problem Definition
- 2.1 Alignment Model
- 2.2 Crowdsourcing Model
- 2.3 Decision-Making Problems
- 3 Inference Method
- 3.1 Decision Theory
- 3.2 Inference on Decision Model
- 3.3 Optimization Problem Formalization
- 4 Assignment Algorithms
- 4.1 Monotonicity
- 4.2 Task Assignment on Unlimited Budget Constraint
- 4.3 Task Assignment on Bounded Budget Constraint
- 5 Experiments
- 5.1 Experiment Setup
- 5.2 Synthetic Data
- 5.3 Real Data
- 6 Related Work
- 7 Conclusion
- References
- A QoS-Aware Online Incentive Mechanism for Mobile Crowd Sensing
- 1 Introduction
- 2 System Model and Problem Definition
- 3 Design of QoS-Aware Online Mechanism
- 3.1 Online Approximation Algorithm for WUSP
- 3.2 Payment Decision Scheme
- 4 Theoretical Analysis
- 5 Performance Evaluation
- 6 Conclusions
- References
- Iterative Reduction Worker Filtering for Crowdsourced Label Aggregation
- 1 Introduction
- 2 Our Approach
- 2.1 Definitions and Notations
- 2.2 Problem Definition
- 2.3 Iterative Reduction Worker Filtering (IRWF)
- 3 Experiments
- 3.1 Experiments on Synthetic Datasets
- 3.2 Experiments on Real Datasets
- 4 Conclusion
- References
- Web Data Model
- Semantic Web Datatype Inference: Towards Better RDF Matching
- 1 Introduction
- 2 Motivating Scenario
- 3 Related Work
- 4 RDF Terminologies and Definitions
- 5 Inference Process: Our Proposal
- 6 Experimental Evaluation
- 6.1 Accuracy Evaluation
- 6.2 Performance Evaluation
- 7 Conclusion
- References
- Cross-Cultural Web Usability Model
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Cross-Cultural Web Usability Model
- 4 Development of a New Cross-Cultural Web Design Guidelines and a Usability Measuring Instrument
- 4.1 Evaluation of the Usage of Design Elements Between Cultures
- 4.2 Identify Prominent Design Elements
- 4.3 Organising Cultural Factors
- 4.4 Organising HCI Factors
- 4.5 Developing Cross-Cultural Web Design Guidelines
- 4.6 Development of a Usability Measuring Instrument
- 5 Designing Culturally Specific Websites in HCI
- 6 Discussion
- 7 Conclusion and Future Work
- References
- How Fair Is Your Network to New and Old Objects?: A Modeling of Object Selection in Web Based User-Object Networks
- 1 Introduction
- 2 Growth Model
- 2.1 Attachment Kernel
- 2.2 Derivation of Degree Distribution of Users
- 3 Model Parameters Calculation
- 4 Result and Analysis
- 5 Conclusion and Future Works
- References
- Modeling Complementary Relationships of Cross-Category Products for Personal Ranking
- 1 Introduction
- 2 The Framework
- 2.1 Preference Predictor
- 2.2 Modeling Category Factors
- 2.3 Category Complementary Relationships
- 2.4 Model Learning Using BPR
- 3 Experiments
- 3.1 Datasets
- 3.2 Baselines
- 3.3 Performance and Ranking
- 4 Conclusion
- References
- Language Processing and Web Protocols
- Eliminating Incorrect Cross-Language Links in Wikipedia
- 1 Introduction
- 2 Related Work
- 3 Terminology
- 4 Approach
- 5 Evaluation
- 5.1 Results
- 6 Concluding Remarks
- References
- Combining Local and Global Features in Supervised Word Sense Disambiguation
- 1 Introduction
- 2 Related Work
- 2.1 Word Embeddings
- 2.2 Word Sense Disambiguation
- 3 The Proposed Model
- 3.1 Local Features
- 3.2 Global Features
- 3.3 Framework
- 4 Experiment
- 4.1 Experimental Setup
- 4.2 Analysis
- 5 Conclusion
- References
- A Concurrent Interdependent Service Level Agreement Negotiation Protocol in Dynamic Service-Oriented Computing Environments
- 1 Introduction
- 2 A Model for Multiple SLA Negotiations
- 2.1 Definitions
- 3 A CPN Representation of Multiple SLA Negotiations
- 4 The Updating Mechanism for Handling Dynamism
- 4.1 Graph Updating
- 4.2 Utility Updating
- 4.3 Colored Petri Net Representation Updating
- 5 A Negotiation Protocol for SLA Negotiations in Dynamic Environments
- 6 Experiment
- 6.1 Experimental Settings for Static SLA Negotiations
- 6.2 Experimental Settings for Dynamic SLA Negotiations
- 6.3 Experimental Results
- 7 Related Work
- 8 Conclusion
- References
- A New Static Web Caching Mechanism Based on Mutual Dependency Between Result Cache and Posting List Cache
- 1 Introduction
- 2 Related Work
- 3 Static Web Caching Mechanism Based on Mutual Dependency Between RC and PLC
- 4 Empirical Study
- 4.1 Experimental Setup
- 4.2 Experimental Results
- 5 Conclusion
- References
- Web-Based Applications
- A Large-Scale Visual Check-In System for TV Content-Aware Web with Client-Side Video Analysis Offloading
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Visual Check-In System for Content-Aware Websites
- 3.1 System Overview
- 3.2 Data Structures
- 3.3 Video Analysis for Visual Feature Extraction
- 3.4 Client-Side Modules for Capturing Video Clips
- 3.5 Frameshift Dissimilarity Evaluation for Check-in
- 4 Evaluation
- 4.1 Experiment-1: Accuracy Evaluation
- 4.2 Experiment-2: Evaluation with Actual Operations Using a TV Show
- 5 Conclusion
- References
- A Robust and Fast Reputation System for Online Rating Systems
- 1 Introduction
- 2 Randomized Iterative Filtering
- 2.1 Basic Concepts and Notation
- 2.2 Iterative Filtering
- 2.3 Algorithm Description
- 3 Experiments
- 3.1 Experimental Environment
- 3.2 Robustness Against False Ratings
- 3.3 Rating Resolutions and Users Variances
- 4 Related Works
- 5 Conclusions
- References
- The Automatic Development of SEO-Friendly Single Page Applications Based on HIJAX Approach
- Abstract
- 1 Introduction
- 2 Nested Development of a Web Page
- 3 A New Method for the Development of an SPA-Based Web Page
- 3.1 A Tree-Based URL
- 3.2 Block Naming
- 3.3 State-Based Link URLs
- 4 Processing an SPA-Based Request
- 4.1 Client-Side URL History and Page Backward and Forward
- 5 Conclusions
- References
- Towards Intelligent Web Crawling - A Theme Weight and Bayesian Page Rank Based Approach
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Overview of TBPR
- 3.1 Theme Weight Calculation Model
- 3.2 Improved BPR Analysis Algorithm
- 4 Experiment
- 4.1 Experimental Setup
- 4.2 Experimental Data and Design
- 4.2.1 Experimental Analysis Based on Improved Theme Weights Algorithm
- 4.2.2 Experimental Analysis Based on BPR Algorithm
- 4.2.3 Verification of TBPR Approach
- 5 Conclusion
- References
- Data Storage and Generator
- Efficient Multi-version Storage Engine for Main Memory Data Store
- 1 Introduction
- 2 Preliminaries
- 2.1 Snapshot Isolation
- 2.2 Multi-version Storage for Main Memory Storage
- 3 Storage Engine
- 3.1 Version Storage
- 3.2 Write Operations
- 3.3 Read Operations
- 3.4 The End of Transaction
- 3.5 Garbage Collection
- 3.6 Correctness
- 3.7 Analysis
- 4 Checkpoint and Recovery
- 5 Performance Evaluation
- 5.1 Implementation
- 5.2 Experimental Setup
- 5.3 Experimental Results
- 6 Related Work
- 7 Conclusion
- References
- WeDGeM: A Domain-Specific Evaluation Dataset Generator for Multilingual Entity Linking Systems
- 1 Introduction
- 2 Related Work
- 3 Dataset Generation Approach
- 4 Experimental Setup
- 4.1 Datasets
- 4.2 Results
- 5 Conclusion
- References
- Extracting Web Content by Exploiting Multi-Category Characteristics
- 1 Introduction
- 2 Related Work
- 3 Problem Description
- 4 Extraction Framework for Web Content
- 4.1 Constructing DOM Tree and Web Page Preprocessing
- 4.2 Computing Visual Characteristics on Punctuation Marks Appearance
- 4.3 Aggregating Paths to Expand Content Areas
- 4.4 Summarizing Content Semantics and Computing Similarity
- 5 Experiments
- 5.1 Experiment Setting and Datasets
- 5.2 Parameter Analysis
- 5.3 Experimental Results and Analysis
- 6 Conclusions
- References
- Security and Privacy
- PrivacySafer: Privacy Adaptation for HTML5 Web Applications
- 1 Introduction
- 2 HTML5 Browser Support
- 3 User Policies and Representation
- 4 PrivacySafer
- 4.1 Extension Functionality
- 4.2 Implementation Details
- 5 Evaluation
- 5.1 Procedure and Experiments
- 5.2 Page Load Efficiency and User Experience
- 5.3 User Study Evaluation
- 5.4 Limitations
- 6 Related Work
- 7 Conclusions
- References
- Anonymity-Based Privacy-Preserving Task Assignment in Spatial Crowdsourcing
- 1 Introduction
- 2 Related Work
- 3 Problem Statement
- 3.1 System Model
- 3.2 Threat Model and Security Definition
- 4 Technical Preliminary
- 4.1 Bitwise XOR Homomorphic Cipher
- 4.2 Oblivious Transfer
- 5 Privacy-Preserving Task Assignment
- 5.1 Protocol Overview
- 5.2 Detailed Construction
- 5.3 Security Analysis
- 5.4 Complexity Analysis
- 6 Experimental Evaluation
- 6.1 Computation Time
- 6.2 Communication Overhead
- 7 Conclusion
- References
- Understanding Evasion Techniques that Abuse Differences Among JavaScript Implementations
- 1 Introduction
- 2 Evasive Code in Wild
- 3 Proposed Method
- 3.1 Overview
- 3.2 Redirection-Path Matching
- 3.3 Code Concatenation
- 3.4 Code Classification
- 4 Evaluation
- 4.1 Experimental Environment and Dataset
- 4.2 Classification of Evasive Code
- 4.3 Noise Cluster
- 5 Case Studies
- 6 Discussion
- 7 Related Work
- 8 Conclusion
- References
- Mining Representative Patterns Under Differential Privacy
- 1 Introduction
- 2 Related Work
- 3 Problem Definition
- 4 Algorithm
- 4.1 Truncate Transactions
- 4.2 The DPRP-local Algorithm
- 5 Experimental Study
- 6 Conclusion
- References
- A Survey on Security as a Service
- Abstract
- 1 Introduction
- 2 Classification
- 2.1 Security Service Categories
- 2.2 Classification Framework
- 2.3 Individual Group
- 2.4 Interplay Between the Groups
- 3 Conclusion and Future Work
- References
- Sentiment Analysis
- Exploring the Impact of Co-Experiencing Stressor Events for Teens Stress Forecasting
- 1 Introduction
- 2 Related Work
- 3 Preliminaries
- 4 Impact of Co-Experiencing Stressor Events
- 4.1 Stress Coping Similarity
- 4.2 Cluster Teenagers Based on Stress Coping Similarity
- 4.3 Intra-Group Impact of Co-Experiencing Stressors
- 5 Forecast Teenagers' Stress Under the Impact of Co-Experiencing Stressors
- 6 Evaluation
- 6.1 Experimental Setting-Up
- 6.2 Results and Discussion
- 7 Conclusions
- References
- SGMR: Sentiment-Aligned Generative Model for Reviews
- 1 Introduction
- 2 Related Works
- 3 Model
- 3.1 Sentiment Topics
- 3.2 The SGMR Model
- 3.3 Gibbs Sampler
- 3.4 FM
- 4 Experiments
- 4.1 Datasets
- 4.2 Baseline Methods
- 4.3 Evaluation
- 4.4 Rating Prediction
- 4.5 Qualitative Analysis
- 5 Conclusion
- References
- An Ontology-Enhanced Hybrid Approach to Aspect-Based Sentiment Analysis
- 1 Introduction
- 2 Related Work
- 3 Specification of Data and Tasks
- 4 Method
- 4.1 Ontology Design
- 4.2 Feature Vector Construction
- 5 Evaluation
- 6 Conclusion
- References
- DARE to Care: A Context-Aware Framework to Track Suicidal Ideation on Social Media
- 1 Introduction
- 2 Related Work
- 3 A Context-Aware Framework to Track Suicidal Ideation on Social Media
- 3.1 Problem Description
- 3.2 Conditional Random Fields Model
- 3.3 Feature Extraction
- 4 Experiments
- 4.1 Data Preparation and Evaluation Setting
- 4.2 Results and Discussion
- 5 Conclusion and Future Work
- References
- Recommender Systems
- Local Top-N Recommendation via Refined Item-User Bi-Clustering
- 1 Introduction
- 2 Notation
- 3 Related Work
- 3.1 Top-N Recommendation
- 3.2 Local Models for Recommendation
- 3.3 Clustering for Collaborative Filtering
- 4 Bi-Clustering Sparse Linear Models
- 4.1 Estimating Sparse Linear Models
- 4.2 Adjusting for Optimal Subgroups
- 4.3 Leaning Local Models to Predict
- 4.4 Refining Similarity Measure for Clustering
- 5 Experimental Evaluation
- 5.1 Experiment Setup
- 5.2 Experiment Results
- 6 Conclusions
- References
- HOMMIT: A Sequential Recommendation for Modeling Interest-Transferring via High-Order Markov Model
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Preliminaries
- 3.1 Notations
- 3.2 Problem Formulation
- 4 Interest Identification
- 4.1 Principle Components Analysis
- 4.2 Smoothed Clustering
- 5 Interest-Transferring Model and Sequential Recommendation
- 5.1 Interest-Transferring Model
- 5.2 Personalized Interest-Transferring Model
- 5.3 Personalized ITM Based Sequential Recommendation
- 6 Experiments
- 6.1 Experimental Settings
- 6.2 Evaluations
- 6.3 Overall Accuracy Performance
- 7 Conclusion and Future Work
- Acknowledgements
- References
- Modeling Implicit Communities in Recommender Systems
- 1 Introduction
- 2 Related Work
- 2.1 Collaborative Filtering and Matrix Factorization Approaches
- 2.2 Localized Matrix Factorization Approaches
- 2.3 Community Detection
- 3 Preliminaries
- 3.1 Latent Factor Model
- 3.2 List of Symbols
- 3.3 Implicit Communities
- 4 Modeling Implicit Communities with Rating Behaviors
- 4.1 Implicit Community Coordinated Recommendation Model (ICR Model)
- 4.2 Implicit Community Coordinated Recommendation Algorithm
- 5 Experiments
- 5.1 Datasets
- 5.2 Benchmarks and Evaluation Metrics
- 5.3 Comparative Analyses on Proposed Approaches
- 5.4 Performances in Cold-Start Scenarios
- 6 Conclusions
- References
- Coordinating Disagreement and Satisfaction in Group Formation for Recommendation
- 1 Introduction
- 2 Related Work
- 3 Problem Formulation
- 3.1 Group Recommendation Semantics
- 3.2 Satisfaction and Disagreement Aware Group Formation (SDAGF)
- 4 Algorithms
- 4.1 PGD Algorithm for Group Formation
- 4.2 Disagreement and Satisfaction Aware Group Optimization (DASGO) Algorithm
- 5 Experiment
- 5.1 Experiment Settings
- 5.2 Performances Under AF and AD Metric
- 5.3 Performance on Personalized Recommendation Metrics
- 6 Conclusion
- References
- Factorization Machines Leveraging Lightweight Linked Open Data-Enabled Features for Top-N Recommendations
- 1 Introduction
- 2 Related Work
- 3 Proposed Method
- 3.1 Factorization Machines
- 3.2 Features
- 4 Experimental Setup
- 4.1 Dataset
- 4.2 Evaluation Metrics
- 4.3 Compared Methods
- 5 Results
- 5.1 Comparison with Baselines
- 5.2 Model Analysis
- 6 Conclusions
- References
- A Fine-Grained Latent Aspects Model for Recommendation: Combining Each Rating with Its Associated Review
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Preliminaries
- 3.1 Problem Formulation
- 3.2 Recommendation by Matrix Factorization
- 3.3 Latent Dirichlet Allocation
- 4 The FLAM Model
- 5 Learning the Parameters
- 6 Experiments
- 6.1 Dataset
- 6.2 Baselines and Evaluation Metric
- 6.3 Experimental Results
- 6.4 Interpretability of Topics
- 7 Conclusion
- References
- Auxiliary Service Recommendation for Online Flight Booking
- 1 Introduction
- 2 Auxiliary Service Recommendation Model (IR-GBDT)
- 2.1 Problem Definition
- 2.2 Gradient Boosting Decision Tree
- 2.3 The Interrelationship Between Individual Services
- 2.4 IR-GBDT
- 3 Experiment
- 3.1 Evaluation
- 3.2 Experimental Setup
- 3.3 Experiment Results
- 4 Related Work
- 5 Conclusion
- References
- How Does Fairness Matter in Group Recommendation
- 1 Introduction
- 2 Related Work
- 3 Problem Setting
- 3.1 Individual Satisfaction in Group Recommendation
- 3.2 Fairness in Group Recommendation
- 3.3 Problem Formulation
- 4 Optimization Framework
- 4.1 Least Misery and Most Pleasure Semantics
- 4.2 Average Semantic
- 5 Experiment
- 5.1 Experiment Settings
- 5.2 Performance Evaluation
- 6 Conclusion
- References
- Exploiting Users' Rating Behaviour to Enhance the Robustness of Social Recommendation
- 1 Introduction
- 2 Users' Rating Behaviour
- 2.1 Dataset
- 2.2 Credibility of Users' Ratings
- 3 Peer-Based Relay Recommendation
- 3.1 Recommendation Relay
- 3.2 Rating Adjustment
- 3.3 Rating Aggregation
- 4 Experiments and Analysis
- 4.1 Experiment Setup
- 4.2 Results and Discussion
- 5 Related Work
- 6 Conclusion
- References
- Special Sessions on Security and Privacy
- A Study on Securing Software Defined Networks
- Abstract
- 1 Introduction
- 2 Literature Review
- 2.1 Types of Link Flooding Attacks
- 2.2 Traffic Engineering Based Approaches
- 2.3 SDN Based Approaches
- 2.4 Link Observation Based Techniques
- 3 Critical Analysis of LFA Techniques
- 4 Methodology and Conceptual Framework
- 4.1 Link Listener Module
- 4.2 Flood Detection Module
- 4.3 Flood Mitigation Module
- 4.4 Design Considerations for the Framework
- 5 Conclusion
- References
- A Verifiable Ranked Choice Internet Voting System
- 1 Introduction
- 2 Cryptograpihc Preliminaries
- 2.1 Distributed ElGamal Cryptosystem
- 2.2 Proof of Zero Knowledge
- 2.3 Proof of Partial Knowledge
- 3 A Verifiable Ranked Choice Internet Voting System
- 3.1 Initialization Stage
- 3.2 Registration Stage
- 3.3 Ballot Casting Stage
- 3.4 Ballot Verification Stage
- 3.5 Tallying and Revealing Stage
- 4 Security Analysis
- 5 Performance Analysis
- 5.1 Server-Side Performance
- 5.2 Server-Side Performance
- 6 Conclusion
- References
- Privacy Preserving Location Recommendations
- 1 Introduction
- 1.1 Motivation Scenario
- 1.2 Our Contribution
- 1.3 Problem Statement
- 1.4 Related Work
- 1.5 Organization
- 2 Preliminaries
- 2.1 Friendship-Based Weighted Slope One Predictor
- 2.2 Paillier Public-Key Cryptosystem
- 3 Proposed Privacy Preserving Location Recommendation
- 3.1 System Model
- 3.2 Pre-computation
- 3.3 Location Recommendation
- 4 Security Analysis
- 5 Performance Analysis
- 6 Conclusion
- References
- Botnet Command and Control Architectures Revisited: Tor Hidden Services and Fluxing
- 1 Introduction
- 2 Preliminaries
- 2.1 Botnet Architectures
- 2.2 Tor and Hidden Services
- 2.3 Tor and Botnets
- 3 Advanced HS-driven C&C Architectures
- 3.1 Botnet Coordination
- 3.2 Use of Gateways
- 3.3 Tor Fluxing
- 3.4 Optimizations
- 4 Implementation and Results
- 5 Conclusion
- References
- My Face is Mine: Fighting Unpermitted Tagging on Personal/Group Photos in Social Media
- 1 Introduction
- 2 System Design
- 2.1 Preparation
- 2.2 Auto Tagging
- 2.3 Exception Handling Mechanism
- 3 System Validation
- 3.1 Efficiency Evaluation
- 3.2 Privacy Evaluation
- 3.3 Thresholds
- 4 Related Work
- 4.1 Photo-Level Access Control
- 4.2 Face-Level Access Control
- 5 Conclusion and Future
- References
- Cryptographic Access Control in Electronic Health Record Systems: A Security Implication
- Abstract
- 1 Introduction
- 1.1 Personally Controlled Electronic Health Record (PCEHR)
- 1.2 Our Contribution
- 2 Related Work
- 3 Proposed Model
- 3.1 Encryption Process
- 3.2 Decryption Process
- 4 Development of the Proposed Model
- 5 Basic Evaluation of the Proposed Model
- 6 Conclusion and Future Suggestions
- References
- SDN-based Dynamic Policy Specification and Enforcement for Provisioning SECaaS in Cloud
- 1 Introduction
- 2 Our Approach
- 2.1 Security Requirements
- 2.2 SDN-based Security Management
- 3 Implementation
- 3.1 Defending Un-patched Systems
- 3.2 Chinese Wall Policy Use Cases
- 3.3 Performance
- 4 Related Work
- 5 Conclusion
- References
- Topic Detection with Locally Weighted Semi-supervised Collective Learning
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Preliminary
- 3.1 Non-negative Matrix Factorization
- 3.2 Pairwise Constraints
- 4 A Locally Weighted Algorithm
- 4.1 Weight Setting
- 4.2 Objective Function
- 4.3 Updating Rules for Optimization
- 5 Experiments
- 5.1 Data Sets and Evaluation Metrics
- 5.2 Detection Results and Parameter Analysis
- 6 Conclusion and Future Work
- Acknowledgement
- References
- Author Index
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