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 |
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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 |
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16.45 | Tony Kent Strix Award Streaming |
17.30 | Drinks |
18.15 | End of Conference |
18.30 | Conference Dinner |
Keynotes
Gabriella Pasi
University of Milano-Bicocca
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 Waltman
Centre for Science and Technology Studies (CWTS), Leiden
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: