STAFF PROFILE
Professor Falk Scholer
Position:
Professor
College / Portfolio:
STEM College
School / Department:
STEM|School of Computing Technologies
Phone:
+61399259831
Email:
falk.scholer@rmit.edu.au
Campus:
City Campus
Contact me about:
Research supervision,
Media comments
Dr Falk Scholer is a Professor in Information Retrieval, and the Deputy Director of the RMIT Centre for Information Discovery and Data Analytics (CIDDA)
Dr Falk Scholer is a research and teaching academic in the Discipline of Computer Science and IT, in the RMIT School of Science.
His research is in the area of information retrieval, with particular interests in:
- Web and enterprise search engines
- Evaluation of information retrieval systems
- User analytics
- Interactive search
- Relevance and user perceptions
- Fairness, Accountability, Transparency and Ethics of Computing
- Document summarisation
- Biomedical search
A list of Dr Scholer's publications is available on Google Scholar.
More information about his research and teaching is available at his personal website.
- Research supervision
- Teaching:
- Lecturer, Scripting Language Programming (COSC 1092/1093)
- Lecturer, Information Retrieval (ISYS 1078/1079)
PhD, MSc, BSc(Econ)
- Cambazoglu, B.,Baranova, V.,Scholer, F.,Sanderson, M.,Tavakoli, L.,Croft, B. (2021). Quantifying Human-Perceived Answer Utility in Non-factoid Question Answering In: CHIIR 2021 - Proceedings of the 2021 Conference on Human Information Interaction and Retrieval, online, 14-19 March 2021
- Cambazoglu, B.,Tavakoli, L.,Scholer, F.,Sanderson, M.,Croft, B. (2021). An Intent Taxonomy for Questions Asked in Web Search In: CHIIR 2021 - Proceedings of the 2021 Conference on Human Information Interaction and Retrieval, online, 14-19 March 2021
- Saling, L.,Mallal, D.,Scholer, F.,Skelton, R.,Spina, D. (2021). No one is immune to misinformation: An investigation of misinformation sharing by subscribers to a fact-checking newsletter In: PLOS ONE, 16, 1 - 13
- Roitero, K.,Maddalena, E.,Mizzaro, S.,Scholer, F. (2021). On the effect of relevance scales in crowdsourcing relevance assessments for Information Retrieval evaluation In: Information Processing and Management, 58, 1 - 23
- Roitero, K.,Culpepper, S.,Sanderson, M.,Scholer, F.,Mizzaro, S. (2020). Fewer topics? A million topics? Both?! On topics subsets in test collections In: Information Retrieval Journal, 23, 49 - 85
- Li, P.,Sanderson, M.,Carman, M.,Scholer, F. (2020). Self-labeling methods for unsupervised transfer ranking In: Information Sciences, 516, 293 - 315
- Liono, J.,Saiedur Rahaman, M.,Salim, F.,Ren, Y.,Spina, D.,Scholer, F.,Trippas, J.,Sanderson, M.,Bennett, P.,White, R. (2020). Intelligent Task Recognition: Towards Enabling Productivity Assistance in Daily Life In: Proceedings of the 10th International Conference on Multimedia Retrieval (ICMR 2020), Dublin, Ireland, 8-11 June 2020
- Cerone, A.,Naghizade, E.,Scholer, F.,Mallal, D.,Skelton, R.,Spina, D. (2020). Watch ’n’ Check: Towards a Social Media Monitoring Tool to Assist Fact-Checking Experts In: Proceedings of the IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA 2020), Sydney, Australia, 6-9 October 2020
- Mao, J.,Spina, D.,Sadeghi, S.,Scholer, F.,Sanderson, M. (2019). Investigating the Learning Process in Job Search: A Longitudinal Study In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management, Beijing, China, November 03 - 07, 2019
- Mourad, A.,Scholer, F.,Magdy, W.,Sanderson, M. (2019). A Practical Guide for the Effective Evaluation of Twitter User Geolocation In: ACM Transactions on Social Computing, 2, 1 - 23
- New approaches to interactive sessional search for complex tasks. Funded by: ARC Discovery Projects 2019 from (2019 to 2023)
- Archistar Innovation Connection Grant. Funded by: Archistar Pty Ltd Contract from (2019 to 2020)
- Finding answers for complex questions. Funded by: ARC Discovery Projects 2018 from (2018 to 2021)
- A cyber physical and socially aware personal assistant. Funded by: Microsoft Corporation (USA) - research grant 2018 from (2018 to 2020)
- User-Adaptive Search and Evaluation for Complex Information-Seeking Tasks. Funded by: ARC Linkage Grant 2015 Round 1 from (2016 to 2019)
Note: Supervision projects since 2004
21 PhD Completions and 1 Masters by Research Completions8 PhD Current Supervisions
Information retrieval; search engines; past queries and query log analysis; query refinement and expansion; document summarisation; retrieval models; document surrogates; efficient indexing and data structures.