Programme

The proceedings (arXiv) contain all the full papers, for an overview of the day programme, please see below:

08.45 Registration & Coffee
09.30 Conference Opening
09.45 Keynote: Gabriella Pasi (chaired by Wessel Kraaij) (slides)
10.45 Coffee Break
  Paper Session (chaired by Djoerd Hiemstra)
11.15 Mostafa Dehghani and Jaap Kamps (slides)
From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing
11.45 Felipe Moraes, Sindunuraga Rikarno Putra and Claudia Hauff
Search as a learning activity: a viable alternative to instructor-designed learning?
12.15 Gineke Wiggers, Suzan Verberne and Gerrit-Jan Zwenne (slides)
Exploration of Intrinsic Relevance Judgments by Legal Professionals in Information Retrieval Systems
 
 
12.45 Lunch
13.45 Keynote: Ludo Waltman (chaired by Wessel Kraaij) (slides)
14.45 Poster & Demo session + Coffee
  Paper Session (chaired by Arjen de Vries)
15.45 Jan Trienes, Andrés Torres Cano and Djoerd Hiemstra (slides)
Recommending Users: Whom to Follow on Federated Social Networks
16.15 Seyyed Hadi Hashemi, Kyle Williams, Ahmed El Kholy, Imed Zitouni and Paul Crook
Measuring User Satisfaction on Smart Speaker Intelligent Assistants
 
 
16.45 Tony Kent Strix Award Streaming
17.30 Drinks
18.15 End of Conference
18.30 Conference Dinner

 


gabriella.jpgKeynotes

Gabriella Pasi

University of Milano-Bicocca

Slides (pdf)

Assessing Information Credibility in the Social Web

In the scenario of the Social Web, where a large amount of User Generated Content is diffused through Social Media without any form of trusted external control, the risk of running into misinformation is not negligible. For this reason, assessing the credibility of “potential” information constitutes a fundamental issue. Credibility is a quality perceived by individuals, who are not always able to discern with their own cognitive capabilities genuine information from fake one. For this reason, in the last years several approaches have been proposed to automatically assess credibility of UCG in Social Media. Most of them are based on data-driven approaches, based on machine learning techniques, but recently also model-driven approaches are emerging. Model-driven approaches aim at defining a predictive model based on an analysis of the problem and of the identified objects and their features; in particular, approaches relying on a Multi Criteria Decision Making paradigm constitute a way to compute an overall credibility assessment associated with a given information (posts and blogs) by separately evaluating each feature connected to each alternative, and by subsequently aggregating the single assessments into a global one. Several classes of aggregation operators can be employed to obtain the overall credibility estimate, thus modeling distinct behaviors of the considered process.  Furthermore, some aggregation operators allow model the interaction between criteria. In this lecture an overview of model driven approaches will be presented, and their application to some real problems will be illustrated.

Bio

Gabriella Pasi is Full Professor at the Department of Informatics, Systems, and Communication of the University of Milano-Bicocca (Milan, Italy). Within DISCo she leads the Information Retrieval Lab. Her main research activities are related to Information Retrieval and Information Filtering. In recent years she has addressed the issues of contextual search and user modeling. She is also conducting research activities related to the analysis of user-generated content on social media. She has published more than 200 papers in International Journals and Books, and on the Proceedings of International Conferences. She is involved in various activities for the evaluation of research. She is Associate Editor and member of the Editorial Board of several international journals, and she has delivered keynote talks/plenary lectures at international conferences related to her research interests. She has participated in the organization of numerous International events, in both roles of organization and program chair.

ludo.jpgLudo Waltman

Centre for Science and Technology Studies (CWTS), Leiden

Slides (slideshare)

Scientific information retrieval: Challenges and opportunities

The way in which researchers retrieve scientific literature is outdated, leading to major inefficiencies in the research process. When searching for scientific literature, search results are often ranked in naïve ways that provide little help in identifying the most relevant documents. Moreover, while scientific documents have the important feature of being connected to each other by citation links, search systems hardly take advantage of these links. The lack of innovation in scientific information retrieval is partly due to the closed nature of citation data sources. I will discuss ongoing efforts to create openly available sources of citation data. In addition, I will provide an overview of recent developments in the field of scientometrics, relying on visualization, network analysis, and text mining techniques, that can be used to develop innovative approaches to scientific information retrieval.

Bio

Ludo Waltman is professor of Quantitative Science Studies and deputy director at the Centre for Science and Technology Studies (CWTS) at Leiden University. Ludo leads the Quantitative Science Studies (QSS) research group at CWTS. The QSS group does research in the fields of bibliometrics and scientometrics, with a special emphasis on applications in research management and science policy. Together with his colleague Nees Jan van Eck, Ludo has developed two software tools for the analysis and visualization of bibliometric networks: VOSviewer and CitNetExplorer. Ludo is coordinator of the CWTS Leiden Ranking, a bibliometric ranking of major universities worldwide. In addition, Ludo serves as Editor-in-Chief of Journal of Informetrics.


Presentations

Mostafa Dehghani and Jaap Kamps (slides)
From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing  

Felipe Moraes, Sindunuraga Rikarno Putra and Claudia Hauff    
Search as a learning activity: a viable alternative to instructor-designed learning?    

Gineke Wiggers, Suzan Verberne and Gerrit-Jan Zwenne (slides)
Exploration of Intrinsic Relevance Judgments by Legal Professionals in Information Retrieval Systems    

Jan Trienes, Andrés Torres Cano and Djoerd Hiemstra (slides)
Recommending Users: Whom to Follow on Federated Social Networks    

Seyyed Hadi Hashemi, Kyle Williams, Ahmed El Kholy, Imed Zitouni and Paul Crook    
Measuring User Satisfaction on Smart Speaker Intelligent Assistants    


Posters

Florian Kunneman, Sander Wubben, Antal van den Bosch and Emiel Krahmer (poster)
Aspect-based summarization of pros and cons in unstructured product reviews  

Anne Dirkson, Suzan Verberne, Gerard van Oortmerssen and Wessel Kraaij (poster
Lexical normalization of user-generated medical forum data    

Sindunuraga Rikarno Putra, Kilian Grashoff, Felipe Moraes and Claudia Hauff    
SearchX: Collaborative Search System for Large-Scale Research    

Maral Dadvar and Kai Eckert (poster)
JudaicaLink; A Domain-Specific Knowledge Base for Jewish Studies    

Toine Bogers and Marijn Koolen (poster)
Narrative-Driven Recommendation as Complex Task    

Arjen de Vries    
WASP: Web Archiving and Search Personalized  

Dimitrios Bountouridis, Daniel Brown, Frans Wiering and Remco Veltkamp    
Melodic Similarity and Applications Using Biologically-Inspired Techniques  


Demos

Maaike de Boer, Anne Dirkson, Gerard Van Oortmerssen and Suzan Verberne    
The Patient Forum Miner: Text Mining for patient communities  

Maya Sappelli, Dung Manh Chu, Joeri Nortier, David Graus and Bahadir Cambel    
SMART Radio - personalized news radio 

Rianne Kaptein    
Position Title Standardization    

Romualdo Pereira Junior, Diana Inkpen and Ronaldo Nogueira    
A Search Engine for Similarity between Federal Decrees and Laws (slides)    


Conference Dinner

The conference dinner will start at 18.30 and will be held at Stadscafé van der Werff. The address is:

Steenstraat 2, 2312 BW Leiden

You can find a map with the quickest route below:

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