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Proceedings of the First Workshop on Bridging the Gap between Information Science, Information Retrieval and Data Science (BIRDS 2020) co-located with 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), Xi'an, China (online only), July 30th, - 2020

Ingo Frommholz, Haiming Liu, Massimo Melucci (Editors)


Anthology ID:
2020.sigirconf_workshop-2020birds
Year:
2020
Venue:
sigirconf_workshop
Publisher:
CEUR-WS.org
URL:
http://ceur-ws.org/Vol-2741
DBLP:
conf/sigir/2020birds
BibTeX:
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Proceedings of the First Workshop on Bridging the Gap between Information Science, Information Retrieval and Data Science (BIRDS 2020) co-located with 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), Xi'an, China (online only), July 30th, - 2020

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BIRDS 2020 - Bridging the Gap between Information Science, Information Retrieval and Data Science: Preface

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Fairness and Transparency in Ranking
Carlos Castillo

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Challenges and Opportunities for IS, IR & DS in an Era of Information Ubiquity
Nicholas J. Belkin

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Explaining Explanation Methods
Riccardo Guidotti

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Understanding Faceted Search from Information Retrieval, Information Science and Data Science Perspectives
Xi Niu

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Reinforcement Learning-driven Information Seeking: A Quantum Probabilistic Approach
Amit Kumar Jaiswal | Haiming Liu | Ingo Frommholz

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Towards a Framework for Harm Prevention in Web Search
Steven Zimmerman | Stefan Herzog | Jon Chamberlain | David Elsweiler | Udo Kruschwitz

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Temporal Analysis of Scientific Literature to Find Grand Challenges and Saturated Problems
Kritika Agrawal | Vikram Pudi

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Exploring the Impact on User Information Search Behaviour of Affective Design: An Eye-Tracking Study
Sehrish Sher Khan | Haiming Liu

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Extracting and Representing Causal Knowledge of Health Condition
Hong Qing Yu

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BM25-FIC: Information Content-based Field Weighting for BM25F
Tuomas Ketola | Thomas Roelleke

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Content-based Image Search System Design for Capturing User Preferences during Query Formulation
Mahmoud Artemi | Haiming Liu

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Some Reflections on the Use of Structural Equation Modeling for Investigating the Causal Relationships that Affect Search Engine Results
Massimo Melucci