cikm 2019 论文列表
Proceedings of the CIKM 2018 Workshops co-located with 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), Torino, Italy, October 22, 2018.
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A Crowd-powered Model for Identifying Negative Citations.
Neural Educational Recommendation Engine (NERE).
A Virtual Teaching Assistant for Personalized Learning.
The Challenge of Personal Attribute Preferences in Recommending Diverse, Reliable News Sources.
Constructing CP-Nets from Users Past Behaviors.
Query Embedding Learning for Context-based Social Search.
A Framework for Building Chat-based Recommender Systems.
AFEL-REC: A Recommender System for Providing Learning Resource Recommendations in Social Learning Environments.
A User Experience Model for Privacy and Context Aware Over-the-Top (OTT) TV Recommendations.
Preface and Keynote's Talk of the Workshop on Social Interaction-based Recommendation (SIR 2018).
FTR-18: Collecting Rumours on Football Transfer News.
Characterizing the Public Perception of WhatsApp through the Lens of Media.
Use of Interpersonal Deception Theory in Counter Social Engineering.
Modeling the Fake News Challenge as a Cross-Level Stance Detection Task.
Make Social Networks Clean Again: Graph Embedding and Stacking Classifiers for Bot Detection.
How Many Truth Levels? Six? One Hundred? Even More? Validating Truthfulness of Statements via Crowdsourcing.
Stance Classification for Rumour Analysis in Twitter: Exploiting Affective Information and Conversation Structure.
Automated Fact Checking.
2nd International Workshop on Rumours and Deception in Social Media: Preface.
Use of Pseudo Relevance Feedback for Patent Clustering with Fuzzy CMeans.
Concept Hierarchy Extraction from Legal Literature.
Argumentation-Driven Information Extraction for Online Crime Reports.
Structural Analysis of Contract Renewals.
Deep Ensemble Learning for Legal Query Understanding.
International Workshop on Legal Data Analytics and Mining (LeDAM 2018): Preface to the Proceedings.
Knowledge-Driven Analytics Impacting Human Quality Of Life.
Disseminating Synthetic Smart Home Data for Advanced Applications.
On the Predictability of Non-CGM Diabetes Data for Personalized Recommendation.
KB4Rec: A Dataset for Linking Knowledge Bases with Recommender Systems.
Use of LSTM for Short-Term and Long-Term Travel Time Prediction.
Knowledge-Driven Analytics and Sensor Signal Processing in Human-Centric Applications.
Generating Rule Suggestions in PBE Data Transformations.
Kids Computer Interaction with a Focus on Story Telling and Educational Robotics.
Enhancing Privacy Awareness in Online Social Networks: a Knowledge-Driven Approach.
Supporting OLAP-Based Big Data Analytics over Data-Intensive Business Processes: Issues, Models, Proposals, and a Real-Life Framework.
Data Security and Privacy on Intelligent Environments.
Multidimensional News Quality: A Comparison of Crowdsourcing and Nichesourcing.
RARE : A Recurrent Attentive Recommendation Engine for News Aggregators.
Clustering Enhancement for a Token-Based Recommender.
Defining Contextual Factors for News Consumption.
Understanding Characteristics of Biased Sentences in News Articles.
Predicting Tomorrow's Headline using Twitter Deliberations.
News Recommendation and Filter Bubble.
6th International Workshop on News Recommendation and Analytics (INRA 2018).
Neighborhood Troubles: On the Value of User Pre-Filtering To Speed Up and Enhance Recommendations.
Toward Semantic Assessment of Vulnerability Severity: A Text Mining Approach.
Exploring Summary-Expanded Entity Embeddings for Entity Retrieval.
Graph Analytical Re-Ranking for Entity Search.
Using Metadata for Locating Genomic Datasets on a Global Scale.
A Relation Extraction Approach for Clinical Decision Support.
Random Projection to Preserve Patient Privacy.
User Profile Ontology to Support Personalisation for E-Coaching Systems.
CIKM 2018 Workshops: Preface.
