BIRDS@SIGIR

Publications

2020

Massimo Melucci
Some Reflections on the Use of Structural Equation Modeling for Investigating the Causal Relationships that Affect Search Engine Results. BIRDS@SIGIR (2020)
Carlos Castillo
Fairness and Transparency in Ranking. BIRDS@SIGIR (2020)
Amit Kumar Jaiswal, Haiming Liu, Ingo Frommholz
Reinforcement Learning-driven Information Seeking: A Quantum Probabilistic Approach. BIRDS@SIGIR (2020)
Kritika Agrawal, Vikram Pudi
Temporal Analysis of Scientific Literature to Find Grand Challenges and Saturated Problems. BIRDS@SIGIR (2020)
BIRDS 2020 - Bridging the Gap between Information Science, Information Retrieval and Data Science: Preface. BIRDS@SIGIR (2020)
Xi Niu
Understanding Faceted Search from Information Retrieval, Information Science and Data Science Perspectives. BIRDS@SIGIR (2020)
Riccardo Guidotti
Explaining Explanation Methods. BIRDS@SIGIR (2020)
Nicholas J. Belkin
Challenges and Opportunities for IS, IR & DS in an Era of Information Ubiquity. BIRDS@SIGIR (2020)
Steven Zimmerman, Stefan Herzog, Jon Chamberlain, David Elsweiler, Udo Kruschwitz
Towards a Framework for Harm Prevention in Web Search. BIRDS@SIGIR (2020)
Tuomas Ketola, Thomas Roelleke
BM25-FIC: Information Content-based Field Weighting for BM25F. BIRDS@SIGIR (2020)
Mahmoud Artemi, Haiming Liu
Content-based Image Search System Design for Capturing User Preferences during Query Formulation. BIRDS@SIGIR (2020)
Sehrish Sher Khan, Haiming Liu
Exploring the Impact on User Information Search Behaviour of Affective Design: An Eye-Tracking Study. BIRDS@SIGIR (2020)
Hong Qing Yu
Extracting and Representing Causal Knowledge of Health Condition. BIRDS@SIGIR (2020)

volume 2741, 2020

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. BIRDS@SIGIR 2741 (2020)