Abstract is missing.
- BIRDS 2020 - Bridging the Gap between Information Science, Information Retrieval and Data Science: Preface1-3 [doi]
- Fairness and Transparency in RankingCarlos Castillo. 4 [doi]
- Challenges and Opportunities for IS, IR & DS in an Era of Information UbiquityNicholas J. Belkin. 5 [doi]
- Explaining Explanation MethodsRiccardo Guidotti. 6-13 [doi]
- Understanding Faceted Search from Information Retrieval, Information Science and Data Science PerspectivesXi Niu. 14-15 [doi]
- Reinforcement Learning-driven Information Seeking: A Quantum Probabilistic ApproachAmit Kumar Jaiswal, Haiming Liu 0002, Ingo Frommholz. 16-29 [doi]
- Towards a Framework for Harm Prevention in Web SearchSteven Zimmerman, Stefan Herzog, Jon Chamberlain, David Elsweiler, Udo Kruschwitz. 30-46 [doi]
- Temporal Analysis of Scientific Literature to Find Grand Challenges and Saturated ProblemsKritika Agrawal, Vikram Pudi. 47-54 [doi]
- Exploring the Impact on User Information Search Behaviour of Affective Design: An Eye-Tracking StudySehrish Sher Khan, Haiming Liu 0002. 55-69 [doi]
- Extracting and Representing Causal Knowledge of Health ConditionHong Qing Yu. 70-78 [doi]
- BM25-FIC: Information Content-based Field Weighting for BM25FTuomas Ketola, Thomas Roelleke. 79-85 [doi]
- Content-based Image Search System Design for Capturing User Preferences during Query FormulationMahmoud Artemi, Haiming Liu 0002. 86-99 [doi]
- Some Reflections on the Use of Structural Equation Modeling for Investigating the Causal Relationships that Affect Search Engine ResultsMassimo Melucci. 100-109 [doi]