default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDBIRDS@SIGIR 2020: Virtual Event, China
- Ingo Frommholz, Haiming Liu, Massimo Melucci:
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. CEUR Workshop Proceedings 2741, CEUR-WS.org 2020 - BIRDS 2020 - Bridging the Gap between Information Science, Information Retrieval and Data Science: Preface. 1-3
Session 1: Keynotes
- Carlos Castillo:
Fairness and Transparency in Ranking. 4 - Nicholas J. Belkin:
Challenges and Opportunities for IS, IR & DS in an Era of Information Ubiquity. 5
Session 2: Invited Talks
- Riccardo Guidotti:
Explaining Explanation Methods. 6-13 - Xi Niu:
Understanding Faceted Search from Information Retrieval, Information Science and Data Science Perspectives. 14-15
Session 3: Research Papers Session 1
- Amit Kumar Jaiswal, Haiming Liu, Ingo Frommholz:
Reinforcement Learning-driven Information Seeking: A Quantum Probabilistic Approach. 16-29 - Steven Zimmerman, Stefan Herzog, Jon Chamberlain, David Elsweiler, Udo Kruschwitz:
Towards a Framework for Harm Prevention in Web Search. 30-46 - Kritika Agrawal, Vikram Pudi:
Temporal Analysis of Scientific Literature to Find Grand Challenges and Saturated Problems. 47-54 - Sehrish Sher Khan, Haiming Liu:
Exploring the Impact on User Information Search Behaviour of Affective Design: An Eye-Tracking Study. 55-69
Session 4: Research Papers Session 2
- Hong Qing Yu:
Extracting and Representing Causal Knowledge of Health Condition. 70-78 - Tuomas Ketola, Thomas Roelleke:
BM25-FIC: Information Content-based Field Weighting for BM25F. 79-85 - Mahmoud Artemi, Haiming Liu:
Content-based Image Search System Design for Capturing User Preferences during Query Formulation. 86-99 - Massimo Melucci:
Some Reflections on the Use of Structural Equation Modeling for Investigating the Causal Relationships that Affect Search Engine Results. 100-109
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-12-09 00:09 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
