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Social Media
Utilizing Social Media Retweeting for Improving Event Participant Prediction
A Domain-independent Method for Thematic Dataset Building from Social Media: The Case of Tourism on Twitter
Domain Adversarial Training for Aspect-Based Sentiment Analysis
Social Community Evolution Analysis and Visualization in Open Source Software Projects
Spatial & Temporal Issues
Hop-constrained s-t Simple Path Enumeration in Billion-scale Labelled Graphs
Complex Question Answering over Temporal Knowledge Graphs
Hotspots Recommender: Spatio-temporal Prediction of Ride-hailing and Taxicab Services
Query Processing & Information Extraction
Towards a Co-Selection Approach for a Global Explainability of Black Box Machine Learning Models
A Multi-Threading Algorithm for Constrained Path Optimization Problem on Road Networks
An Unsupervised Approach to Genuine Health Information Retrieval based on Scientific Evidence
Explaining Unexpected Answers of SPARQL Queries
Architecture and Performance I
Bitcoin Transaction Confirmation Time Prediction: A Classification Review
Offworker: An Offloading Framework for Parallel Web Applications
High-Performance Transaction Processing for Web Applications Using Column-Level Locking
sGrid++ : Revising Simple Grid based Density Estimator for Mining Outlying Aspect
Architecture and Performance II
LinGBM: A Performance Benchmark for Approaches to Build GraphQL Servers
A Service-based Framework for Adaptive Data Curation in Data Lakehouses
Retrofitting Industrial Machines with WebAssembly on the Edge
Graph Data Management
Attention-Based Relation Prediction of Knowledge Graph by Incorporating Graph and Context Features
Rumor Detection in Social Network via Influence based on Bi-Directional Graph Convolutional Network
Efficient Truss Computation for Large Hypergraphs
Security & Privacy
Identifying Privacy Risks raised by Utility Queries
An Empirical Assessment of Security and Privacy Risks of Web-based Chatbots
An Information-Driven Genetic Algorithm for Privacy-Preserving Data Publishing
Information Retrieval & Text Processing
Enhanced Topic Representation by Ambiguity Handling
Enhancing Seq2seq Math Word Problem Solver with Entity Information and Math Knowledge
Mitigating Multi-class Unintended Demographic Bias in Text Classification with Adversarial Learning
Debias the Black-box: A Fair Ranking Framework via Knowledge Distillation
Reinforcement Learning
Incorporating News Summaries for Stock Predictions via Graphical Learning
Bootstrapping Joint Entity and Relation Extraction with Reinforcement Learning
EEML: Ensemble Embedded Meta-learning
Click is not equal to Purchase: Multi-task Reinforcement Learning for Multi-behavior Recommendation
Learning & Optimization
Multi-document Question Answering Powered by External Knowledge
A Learning-based Approach for Multi-scenario Trajectory Similarity Search
Transformer-based Cache Replacement Policy Learning
Spatial Data Processing
Conats: A Novel Framework for Cross-Modal Map Extraction
Attentive Knowledge-aware Path Network for Explainable Travel Mashup
Extra Budget-aware Online Task Assignment in Spatial Crowdsourcing
Recommendation
TUR: Utilizing Temporal Information to Make Unexpected E-commerce Recommendations
Towards Robust Recommender Systems via Triple Cooperative Defense
Graph Collaborative Filtering for Recommendation in Complex and Quaternion Spaces
Neural Networks
Event Source Page Discovery via Policy-based RL with Multi-Task Neural Sequence Model
Triplet Embedding Convolutional Recurrent Neural Network for Long Text Semantic Analysis
Graph Neural Network with Self-attention and Multi-task Learning for Credit Default Risk Prediction
Demo Papers
RDF_QDAG in action: Efficient RDF Data querying at scale
Multi-source Logistics Data Management Architecture
TCPMS-FCP: A Traffic Congestion Pattern Mining System Based on Spatio-temporal Fuzzy Co-location Patterns.
Utilizing Social Media Retweeting for Improving Event Participant Prediction
A Domain-independent Method for Thematic Dataset Building from Social Media: The Case of Tourism on Twitter
Domain Adversarial Training for Aspect-Based Sentiment Analysis
Social Community Evolution Analysis and Visualization in Open Source Software Projects
Spatial & Temporal Issues
Hop-constrained s-t Simple Path Enumeration in Billion-scale Labelled Graphs
Complex Question Answering over Temporal Knowledge Graphs
Hotspots Recommender: Spatio-temporal Prediction of Ride-hailing and Taxicab Services
Query Processing & Information Extraction
Towards a Co-Selection Approach for a Global Explainability of Black Box Machine Learning Models
A Multi-Threading Algorithm for Constrained Path Optimization Problem on Road Networks
An Unsupervised Approach to Genuine Health Information Retrieval based on Scientific Evidence
Explaining Unexpected Answers of SPARQL Queries
Architecture and Performance I
Bitcoin Transaction Confirmation Time Prediction: A Classification Review
Offworker: An Offloading Framework for Parallel Web Applications
High-Performance Transaction Processing for Web Applications Using Column-Level Locking
sGrid++ : Revising Simple Grid based Density Estimator for Mining Outlying Aspect
Architecture and Performance II
LinGBM: A Performance Benchmark for Approaches to Build GraphQL Servers
A Service-based Framework for Adaptive Data Curation in Data Lakehouses
Retrofitting Industrial Machines with WebAssembly on the Edge
Graph Data Management
Attention-Based Relation Prediction of Knowledge Graph by Incorporating Graph and Context Features
Rumor Detection in Social Network via Influence based on Bi-Directional Graph Convolutional Network
Efficient Truss Computation for Large Hypergraphs
Security & Privacy
Identifying Privacy Risks raised by Utility Queries
An Empirical Assessment of Security and Privacy Risks of Web-based Chatbots
An Information-Driven Genetic Algorithm for Privacy-Preserving Data Publishing
Information Retrieval & Text Processing
Enhanced Topic Representation by Ambiguity Handling
Enhancing Seq2seq Math Word Problem Solver with Entity Information and Math Knowledge
Mitigating Multi-class Unintended Demographic Bias in Text Classification with Adversarial Learning
Debias the Black-box: A Fair Ranking Framework via Knowledge Distillation
Reinforcement Learning
Incorporating News Summaries for Stock Predictions via Graphical Learning
Bootstrapping Joint Entity and Relation Extraction with Reinforcement Learning
EEML: Ensemble Embedded Meta-learning
Click is not equal to Purchase: Multi-task Reinforcement Learning for Multi-behavior Recommendation
Learning & Optimization
Multi-document Question Answering Powered by External Knowledge
A Learning-based Approach for Multi-scenario Trajectory Similarity Search
Transformer-based Cache Replacement Policy Learning
Spatial Data Processing
Conats: A Novel Framework for Cross-Modal Map Extraction
Attentive Knowledge-aware Path Network for Explainable Travel Mashup
Extra Budget-aware Online Task Assignment in Spatial Crowdsourcing
Recommendation
TUR: Utilizing Temporal Information to Make Unexpected E-commerce Recommendations
Towards Robust Recommender Systems via Triple Cooperative Defense
Graph Collaborative Filtering for Recommendation in Complex and Quaternion Spaces
Neural Networks
Event Source Page Discovery via Policy-based RL with Multi-Task Neural Sequence Model
Triplet Embedding Convolutional Recurrent Neural Network for Long Text Semantic Analysis
Graph Neural Network with Self-attention and Multi-task Learning for Credit Default Risk Prediction
Demo Papers
RDF_QDAG in action: Efficient RDF Data querying at scale
Multi-source Logistics Data Management Architecture
TCPMS-FCP: A Traffic Congestion Pattern Mining System Based on Spatio-temporal Fuzzy Co-location Patterns.