CIKM 2018
Workshops at CIKM 2018

Table of Contents

• CIKM 2018 Workshops: Preface
  Alfredo Cuzzocrea, Francesco Bonchi, Dimitris Gunopulos

12th International Workshop on Data and Text Mining in Biomedical Informatics (DTMBio 2018)

• User Profile Ontology to Support Personalisation for E-Coaching Systems
  Puspa Pratiwi, Yue Xu, Yuefeng Li, Stewart G. Trost, Kelly M. Clanchy, Dian Tjondronegoro
• Random Projection to Preserve Patient Privacy
  Aris Anagnostopoulos, Fabio Angeletti, Federico Arcangeli, Chris Schwiegelshohn, Andrea Vitaletti
• A Relation Extraction Approach for Clinical Decision Support
  Maristella Agosti, Giorgio Maria Di Nunzio, Stefano Marchesin, Gianmaria Silvello
• Using Metadata for Locating Genomic Datasets on a Global Scale
  Anna Bernasconi

1st International Workshop on EntitY REtrieval (EYRE 2018)

• Graph Analytical Re-Ranking for Entity Search
  Takahiro Komamizu
• Exploring Summary-Expanded Entity Embeddings for Entity Retrieval
  Shahrzad Naseri, John Foley, James Allan, Brendan T. O’Connor
• Toward Semantic Assessment of Vulnerability Severity: A Text Mining Approach
  Yongjae Lee, Seungwon Shin
• Neighborhood Troubles: On the Value of User Pre-Filtering To Speed Up and Enhance Recommendations
  Emanuel Lacic, Dominik Kowald, Elisabeth Lex

6th International Workshop on News Recommendation and Analytics (INRA 2018)

• 6th International Workshop on News Recommendation and Analytics (INRA 2018)
  Ozlem Ozgobek, Benjamin Kille, Jon Atle Gulla, Martha Larson, Andreas Lommatzsch
• News Recommendation and Filter Bubble
  Jianan Yao, Alexander G. Hauptmann
• Predicting Tomorrow’s Headline using Twitter Deliberations
  Roshni Chakraborty, Abhijeet Kharat, Apalak Khatua, Sourav Kumar Dandapat, Joydeep Chandra
• Understanding Characteristics of Biased Sentences in News Articles
  Sora Lim, Adam Jatowt, Masatoshi Yoshikawa
• Defining Contextual Factors for News Consumption
  Benjamin Kille, Özlem Özgöbek, Andreas Lommatzsch
• Clustering Enhancement for a Token-Based Recommender
  Ville Ollikainen
• RARE : A Recurrent Attentive Recommendation Engine for News Aggregators
  Dhruv Khattar, Vaibhav Kumar, Shashank Gupta, Manish Gupta, Vasudeva Varma
• Multidimensional News Quality: A Comparison of Crowdsourcing and Nichesourcing
  Eddy Maddalena, Davide Ceolin, Stefano Mizzaro

International Workshop on Knowledge-Driven Analytics Impacting Human Quality of Life (KDAH 2018)

• Data Security and Privacy on Intelligent Environments
  (keynote) Leandro Marin
• Supporting OLAP-Based Big Data Analytics over Data-Intensive Business Processes: Issues, Models, Proposals, and a Real-Life Framework
  (keynote) Alfredo Cuzzocrea
• Enhancing Privacy Awareness in Online Social Networks: a Knowledge-Driven Approach
  (keynote) Ruggero G. Pensa
• Kids Computer Interaction with a Focus on Story Telling and Educational Robotics
  (keynote) Cristina Gena
• Generating Rule Suggestions in PBE Data Transformations
  Kuldeep Reddy
• Knowledge-Driven Analytics and Sensor Signal Processing in Human-Centric Applications
  Arijit Ukil, Leandro Marin Munoz, Antonio Jara, John Farserotu
• Use of LSTM for Short-Term and Long-Term Travel Time Prediction
  Irem Islek, Sule Gunduz Oguducu
• KB4Rec: A Dataset for Linking Knowledge Bases with Recommender Systems
  Wayne Xin Zhao, Gaole He, Hongjian Dou, Jin Huang, Siqi Ouyang, Ji-Rong Wen
• On the Predictability of Non-CGM Diabetes Data for Personalized Recommendation
  Tu Nguyen, Markus Rokicki
• Disseminating Synthetic Smart Home Data for Advanced Applications
  Andrea Masciadri, Fabio Veronese, Sara Comai, Ilaria Carlini, Fabio Salice
• Knowledge-Driven Analytics Impacting Human Quality Of Life
  Arijit Ukil, Leandro Marin, Antonio Jara, John Farserotu

International Workshop on Legal DAta Mining (LeDAM 2018)

• International Workshop on Legal Data Analytics and Mining (LeDAM 2018): Preface to the Proceedings
  Arindam Pal, Arnab Bhattacharya, Indrajit Bhattacharya, Kripabandhu Ghosh, Lipika Dey, Marie-Francine Moens, Saptarshi Ghosh
• Deep Ensemble Learning for Legal Query Understanding
  Arunprasath Shankar, Venkata Nagaraju Buddarapu
• Structural Analysis of Contract Renewals
  Frieda Josi, Christian Wartena
• Argumentation-Driven Information Extraction for Online Crime Reports
  Marijn Schraagen, Daphne Odekerken, Bas Testerink, Florix Bex
• Concept Hierarchy Extraction from Legal Literature
  Sabine Wehnert, David Broneske, Stefan Langer, Gunter Saake
• Use of Pseudo Relevance Feedback for Patent Clustering with Fuzzy CMeans
  Noushin Fadaei, Thomas Mandl

2nd International Workshop on Rumours and Deception in Social Media (RDSM 2018)

• 2nd International Workshop on Rumours and Deception in Social Media: Preface
  Ahmet Aker, Arkaitz Zubiaga, Kalina Bontcheva, Maria Liakata, Rob Procter
• Automated Fact Checking
  (keynote) Andreas Vlachos
• Stance Classification for Rumour Analysis in Twitter: Exploiting Affective Information and Conversation Structure
  Endang Wahyu Pamungkas, Valerio Basile, Viviana Patti
• How Many Truth Levels? Six? One Hundred? Even More? Validating Truthfulness of Statements via Crowdsourcing
  Kevin Roitero, Gianluca Demartini, Stefano Mizzaro, Damiano Spina
• Make Social Networks Clean Again: Graph Embedding and Stacking Classifiers for Bot Detection
  Kirill Skorniakov, Denis Turdakov, Andrey Zhabotinsky
• Modeling the Fake News Challenge as a Cross-Level Stance Detection Task
  Costanza Conforti, Mohammad Taher Pilehvar, Nigel Collier
• Use of Interpersonal Deception Theory in Counter Social Engineering
  Grace Hui Yang, Yue Yu
• Characterizing the Public Perception of WhatsApp through the Lens of Media
  Josemar Alves Caetano, Gabriel Magno, Evandro Cunha, Wagner Meira Jr., Humberto T. Marques-Neto, Virgilio Almeida
• FTR-18: Collecting Rumours on Football Transfer News
  Danielle Caled, Mário J. Silva

International Workshop on Social Interaction-based Recommendation (SIR 2018)

• Preface and Keynote's Talk of the Workshop on Social Interaction-based Recommendation (SIR 2018)
  Gabriella Pasi, Gabriella Pasi, Christian Morbidoni, Gabriella Pasi, Giovanni Stilo
• A User Experience Model for Privacy and Context Aware Over-the-Top (OTT) TV Recommendations
  Valentino Servizi, Sokol Kosta, Allan Hammershøj, Henning Olesen
• AFEL-REC: A Recommender System for Providing Learning Resource Recommendations in Social Learning Environments
  Dominik Kowald, Emanuel Lacic, Dieter Theiler, Elisabeth Lex
• A Framework for Building Chat-based Recommender Systems
  Fedelucio Narducci, Pierpaolo Basile, Andrea Iovine, Marco De Gemmis, Pasquale Lops, Giovanni Semeraro
• Query Embedding Learning for Context-based Social Search
  Cheng-Te Li, Yi-Chun Chen
• Constructing CP-Nets from Users Past Behaviors
  Reza Khoshkangini, Maria Silvia Pini, Francesca Rossi, Dinh Tran-Van
• The Challenge of Personal Attribute Preferences in Recommending Diverse, Reliable News Sources
  Brooke Auxier, Jennifer Golbeck
• A Virtual Teaching Assistant for Personalized Learning
  Luca Benedetto, Paolo Cremonesi, Manuel Parenti
• Neural Educational Recommendation Engine (NERE)
  Moin Nadeem, Dustin Stansbury, Shane Mooney
• A Crowd-powered Model for Identifying Negative Citations
  Sujoy Chatterjee