ACM International Conference on Information and Knowledge Management (2018)
Content
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
2nd International Workshop on Rumours and Deception in Social Media: Preface
Ahmet Aker
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Arkaitz Zubiaga
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Kalina Bontcheva
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Maria Liakata
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Rob Procter
6th International Workshop on News Recommendation and Analytics (INRA 2018)
Özlem Özgöbek
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Benjamin Kille
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Jon Atle Gulla
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Martha A. Larson
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Andreas Lommatzsch
A Crowd-powered Model for Identifying Negative Citations
Sujoy Chatterjee
A Framework for Building Chat-based Recommender Systems
Fedelucio Narducci
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Pierpaolo Basile
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Andrea Iovine
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Marco de Gemmis
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Pasquale Lops
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Giovanni Semeraro
A Relation Extraction Approach for Clinical Decision Support
Maristella Agosti
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Giorgio Maria Di Nunzio
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Stefano Marchesin
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Gianmaria Silvello
A User Experience Model for Privacy and Context Aware Over-the-Top (OTT) TV Recommendations
Valentino Servizi
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Sokol Kosta
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Allan Hammershøj
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Henning Olesen
A Virtual Teaching Assistant for Personalized Learning
Luca Benedetto
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Paolo Cremonesi
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Manuel Parenti
AFEL-REC: A Recommender System for Providing Learning Resource Recommendations in Social Learning Environments
Dominik Kowald
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Emanuel Lacic
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Dieter Theiler
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Elisabeth Lex
Argumentation-Driven Information Extraction for Online Crime Reports
Marijn Schraagen
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Daphne Odekerken
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Bas Testerink
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Floris Bex
Automated Fact Checking
Andreas Vlachos
CIKM 2018 Workshops: Preface
Alfredo Cuzzocrea
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Francesco Bonchi
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Dimitrios Gunopulos
Characterizing the Public Perception of WhatsApp through the Lens of Media
Josemar Alves Caetano
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Gabriel Magno
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Evandro Cunha
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Wagner Meira Jr.
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Humberto Torres Marques-Neto
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Virgílio A. F. Almeida
Clustering Enhancement for a Token-Based Recommender
Ville Ollikainen
Concept Hierarchy Extraction from Legal Literature
Sabine Wehnert
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David Broneske
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Stefan Langer
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Gunter Saake
Constructing CP-Nets from Users Past Behaviors
Reza Khoshkangini
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Maria Silvia Pini
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Francesca Rossi
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Dinh Tran-Van
Data Security and Privacy on Intelligent Environments
Leandro Marín
Deep Ensemble Learning for Legal Query Understanding
Arunprasath Shankar
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Venkata Nagaraju Buddarapu
Defining Contextual Factors for News Consumption
Benjamin Kille
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Özlem Özgöbek
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Andreas Lommatzsch
Disseminating Synthetic Smart Home Data for Advanced Applications
Andrea Masciadri
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Fabio Veronese
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Sara Comai
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Ilaria Carlini
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Fabio Salice
Enhancing Privacy Awareness in Online Social Networks: a Knowledge-Driven Approach
Ruggero G. Pensa
Exploring Summary-Expanded Entity Embeddings for Entity Retrieval
Shahrzad Naseri
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John Foley
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James Allan
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Brendan T. O'Connor
FTR-18: Collecting Rumours on Football Transfer News
Danielle Caled
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Mário J. Silva
Generating Rule Suggestions in PBE Data Transformations
Kuldeep Reddy
Graph Analytical Re-Ranking for Entity Search
Takahiro Komamizu
How Many Truth Levels? Six? One Hundred? Even More? Validating Truthfulness of Statements via Crowdsourcing
Kevin Roitero
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Gianluca Demartini
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Stefano Mizzaro
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Damiano Spina
International Workshop on Legal Data Analytics and Mining (LeDAM 2018): Preface to the Proceedings
Arindam Pal
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Arnab Bhattacharya
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Indrajit Bhattacharya
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Kripabandhu Ghosh
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Lipika Dey
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Marie-Francine Moens
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Saptarshi Ghosh
KB4Rec: A Dataset for Linking Knowledge Bases with Recommender Systems
Wayne Xin Zhao
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Gaole He
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Hongjian Dou
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Jin Huang
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Siqi Ouyang
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Ji-Rong Wen
Kids Computer Interaction with a Focus on Story Telling and Educational Robotics
Cristina Gena
Knowledge-Driven Analytics and Sensor Signal Processing in Human-Centric Applications
Arijit Ukil
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Leandro Marín Muñoz
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Antonio Jara
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John R. Farserotu
Knowledge-Driven Analytics Impacting Human Quality Of Life
Arijit Ukil
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Leandro Marín
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Antonio Jara
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John R. Farserotu
Make Social Networks Clean Again: Graph Embedding and Stacking Classifiers for Bot Detection
Kirill Skorniakov
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Denis Turdakov
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Andrey Zhabotinsky
Modeling the Fake News Challenge as a Cross-Level Stance Detection Task
Costanza Conforti
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Mohammad Taher Pilehvar
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Nigel Collier
Multidimensional News Quality: A Comparison of Crowdsourcing and Nichesourcing
Eddy Maddalena
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Davide Ceolin
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Stefano Mizzaro
Neighborhood Troubles: On the Value of User Pre-Filtering To Speed Up and Enhance Recommendations
Emanuel Lacic
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Dominik Kowald
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Elisabeth Lex
Neural Educational Recommendation Engine (NERE)
Moin Nadeem
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Dustin Stansbury
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Shane Mooney
News Recommendation and Filter Bubble
Jianan Yao
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Alexander G. Hauptmann
On the Predictability of Non-CGM Diabetes Data for Personalized Recommendation
Tu Nguyen
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Markus Rokicki
Predicting Tomorrow's Headline using Twitter Deliberations
Roshni Chakraborty
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Abhijeet Kharat
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Apalak Khatua
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Sourav Kumar Dandapat
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Joydeep Chandra
Preface and Keynote's Talk of the Workshop on Social Interaction-based Recommendation (SIR 2018)
Ludovico Boratto
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Stefano Faralli
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Christian Morbidoni
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Gabriella Pasi
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Giovanni Stilo
Query Embedding Learning for Context-based Social Search
Cheng-Te Li
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Yi-Chun Chen
RARE : A Recurrent Attentive Recommendation Engine for News Aggregators
Dhruv Khattar
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Vaibhav Kumar
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Shashank Gupta
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Manish Gupta
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Vasudeva Varma
Random Projection to Preserve Patient Privacy
Aris Anagnostopoulos
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Fabio Angeletti
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Federico Arcangeli
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Chris Schwiegelshohn
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Andrea Vitaletti
Stance Classification for Rumour Analysis in Twitter: Exploiting Affective Information and Conversation Structure
Endang Wahyu Pamungkas
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Valerio Basile
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Viviana Patti
Structural Analysis of Contract Renewals
Frieda Josi
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Christian Wartena
Supporting OLAP-Based Big Data Analytics over Data-Intensive Business Processes: Issues, Models, Proposals, and a Real-Life Framework
Alfredo Cuzzocrea
The Challenge of Personal Attribute Preferences in Recommending Diverse, Reliable News Sources
Brooke Auxier
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Jennifer Golbeck
Toward Semantic Assessment of Vulnerability Severity: A Text Mining Approach
Yongjae Lee
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Seungwon Shin
Understanding Characteristics of Biased Sentences in News Articles
Sora Lim
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Adam Jatowt
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Masatoshi Yoshikawa
Use of Interpersonal Deception Theory in Counter Social Engineering
Grace Hui Yang
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Yue Yu
Use of LSTM for Short-Term and Long-Term Travel Time Prediction
Irem Islek
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Sule Gündüz Ögüdücü
Use of Pseudo Relevance Feedback for Patent Clustering with Fuzzy CMeans
Noushin Fadaei
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Thomas Mandl
User Profile Ontology to Support Personalisation for E-Coaching Systems
Puspa Pratiwi
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Yue Xu
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Yuefeng Li
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Stewart G. Trost
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Kelly M. Clanchy
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Dian Tjondronegoro
Using Metadata for Locating Genomic Datasets on a Global Scale
Anna Bernasconi