Overview
Background
Shane Culpepper is a Professor of Artificial Intelligence at the University of Queensland in St. Lucia, Australia. Before joining the University of Queensland in 2023, Professor Culpepper held a continuing academic position at RMIT University in Melbourne, Australia. He received his PhD in Computer Science from the University of Melbourne in 2008. His research focuses primarily on building better Search and Recommendation Systems and is primarily interested how to responsibly integrate efficient and scalable generative AI models for search, recommendation, and question answering. Professor Culpepper’s work has applications in a number of downstream applications for Legal, Health, real estate speculation. He has been instrumental in founding the AI Research Network and the Research Center for Enterprise AI at the University of Queensland.
Over his 17 year career, Professor Culpepper has supervised 19 PhD students and co-authored more than 140 peer reviewed papers with 132 different research collaborators on problems that range from core basic research, such as algorithm efficiency and scalability, to practical real world problems on building and deploying new machine learning algorithms for search and recommendation systems. While often technical, his work is always user-driven as humans are the main consumers of this technology. This user-centric research focus has led to several papers on controlled user studies which guide the development of better evaluation techniques which model human behaviour. In the last 5 years, Professor Culpepper has been a program co-chair for international conferences such as SIGIR and CIKM, and co-organized conferences such as WSDM and SWIRL. Professor Culpepper previously held an ARC DECRA fellowship in 2013 as well as an RMIT Vice-Chancellor's Principal Researcher fellowship in 2017. Before joining the University of Queensland. Professor Culpepper was the founding director of the Centre for Information Discovery and Data Analytics at RMIT University. In total, he has been a chief investigator on 11 research grants totalling ~$3.8 Million AUD.
Availability
- Professor Shane Culpepper is:
- Available for supervision
- Media expert
Fields of research
Qualifications
- Doctor of Philosophy of Computer Science, University of Melbourne
- Member, Association for Computing Machinery, Association for Computing Machinery
- Honorary Fellow, RMIT University, RMIT University
Works
Search Professor Shane Culpepper’s works on UQ eSpace
2018
Conference Publication
Towards efficient and effective query variant generation
Benham, Rodger, Culpepper, J. Shane, Gallagher, Luke, Lu, Xiaolu and Mackenzie, Joel (2018). Towards efficient and effective query variant generation. First Biennial Conference on Design of Experimental Search & Information Retrieval Systems (DESIRES 2018), Bertinoro, Italy, 28-31 August 2018. Aachen, Germany: RWTH Aachen University.
2018
Conference Publication
Reverse k Nearest Neighbor Search over Trajectories (Extended Abstract)
Wang, Sheng, Bao, Zhifeng, Culpepper, J. Shane, Sellis, Timos and Cong, Gao (2018). Reverse k Nearest Neighbor Search over Trajectories (Extended Abstract). 34th IEEE International Conference on Data Engineering Workshops (ICDEW), Paris, France, 16-19 April 2018. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDE.2018.00250
2018
Conference Publication
MaxBRkNN Queries for Streaming Geo-Data
Luo, Hui, Choudhury, Farhana M., Bao, Zhifeng, Culpepper, J. Shane and Zhang, Bang (2018). MaxBRkNN Queries for Streaming Geo-Data. 23rd International Conference on Database Systems for Advanced Applications (DASFAA), Gold Coast, QLD Australia, 21-24 May 2018. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-91452-7_42
2017
Conference Publication
Early termination heuristics for score-at-a-time index traversal
Mackenzie, Joel, Scholer, Falk and Culpepper, J. Shane (2017). Early termination heuristics for score-at-a-time index traversal. ADCS 2017: The 22nd Australasian Document Computing Symposium, Brisbane, QLD Australia, 7-8 December 2017. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3166072.3166073
2017
Conference Publication
Risk-reward trade-offs in rank fusion
Benham, Rodger and Culpepper, J. Shane (2017). Risk-reward trade-offs in rank fusion. 22nd Australasian Document Computing Symposium, ADCS 2017, Brisbane, QLD Australia, 7 - 8 December 2017. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3166072.3166084
2017
Journal Article
Geo-Social Influence Spanning Maximization
Li, Jianxin, Sellis, Timos, Culpepper, J. Shane, He, Zhenying, Liu, Chengfei and Wang, Junhu (2017). Geo-Social Influence Spanning Maximization. IEEE Transactions On Knowledge and Data Engineering, 29 (8) 7890988, 1653-1666. doi: 10.1109/TKDE.2017.2690288
2017
Journal Article
Efficient distributed selective search
Kim, Yubin, Callan, Jamie, Culpepper, J. Shane and Moffat, Alistair (2017). Efficient distributed selective search. Information Retrieval Journal, 20 (3), 221-252. doi: 10.1007/s10791-016-9290-6
2017
Conference Publication
Personalized influential topic search via social network summarization
Li, Jianxin, Liu, Chengfei, Yu, Jeffrey Xu, Chen, Yi, Sellis, Timos and Culpepper, J. Shane (2017). Personalized influential topic search via social network summarization. 2017 IEEE 33rd International Conference on Data Engineering (ICDE), San Diego, CA, United States, 19-22 April 2017. Piscataway, NJ United States: IEEE. doi: 10.1109/icde.2017.15
2017
Conference Publication
Monitoring the top-m rank aggregation of spatial objects in streaming queries
Choudhury, Farhana M., Bao, Zhifeng, Culpepper, J. Shane and Sellis, Timos (2017). Monitoring the top-m rank aggregation of spatial objects in streaming queries. 2017 IEEE 33rd International Conference on Data Engineering (ICDE), San Diego, CA, United States, 19-22 April 2017. Piscataway, NJ United States: IEEE. doi: 10.1109/icde.2017.113
2017
Conference Publication
Answering top-k exemplar trajectory queries
Wang, Sheng, Bao, Zhifeng, Culpepper, J. Shane, Sellis, Timos, Sanderson, Mark and Qin, Xiaolin (2017). Answering top-k exemplar trajectory queries. 2017 IEEE 33rd International Conference on Data Engineering (ICDE), San Diego, CA, United States, 19-22 April 2017. Piscataway, NJ United States: IEEE. doi: 10.1109/icde.2017.114
2017
Conference Publication
A comparison of document-at-a-time and score-at-a-time query evaluation
Crane, Matt, Culpepper, J. Shane, Lin, Jimmy, Mackenzie, Joel and Trotman, Andrew (2017). A comparison of document-at-a-time and score-at-a-time query evaluation. 10th ACM International Conference on Web Search and Data Mining (WSDM), Cambridge, United Kingdom, 6-10 February 2017. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3018661.3018726
2017
Conference Publication
Can Deep Effectiveness Metrics Be Evaluated Using Shallow Judgment Pools?
Lu, Xiaolu, Moffat, Alistair and Culpepper, J. Shane (2017). Can Deep Effectiveness Metrics Be Evaluated Using Shallow Judgment Pools?. 40th International ACM SIGIR conference on research and development in Information Retrieval, Shinjuku, Japan, 7-11 August 2017. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3077136.3080793
2017
Conference Publication
Efficient Cost-Aware Cascade Ranking in Multi-Stage Retrieval
Chen, Ruey-Cheng, Gallagher, Luke, Blanco, Roi and Culpepper, J. Shane (2017). Efficient Cost-Aware Cascade Ranking in Multi-Stage Retrieval. 40th International ACM SIGIR conference on research and development in Information Retrieval, Shinjuku, Japan, 7-11 August 2017. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3077136.3080819
2017
Conference Publication
Gauging the Quality of Relevance Assessments using Inter-Rater Agreement
Damessie, Tadele T., Nghiem, Thao P., Scholer, Falk and Culpepper, J. Shane (2017). Gauging the Quality of Relevance Assessments using Inter-Rater Agreement. 40th International ACM SIGIR conference on research and development in Information Retrieval, Shinjuku, Japan, 7-11 August 2017. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3077136.3080729
2016
Conference Publication
Interactive trip planning using activity trajectories
Wang, Sheng, Bao, Zhifeng, Culpepper, J. Shane, Sellis, Timos, Sanderson, Mark and Yadamjav, Munkh-Erdene (2016). Interactive trip planning using activity trajectories. 21st Australasian Document Computing Symposium, ADCS 2016, Caulfield, VIC Australia, 6 - 7 December 2016. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3015022.3015030
2016
Conference Publication
Dynamic cutoff prediction in multi-stage retrieval systems
Culpepper, J. Shane, Clarke, Charles L. A. and Lin, Jimmy (2016). Dynamic cutoff prediction in multi-stage retrieval systems. 21st Australasian Document Computing Symposium, ADCS 2016, Caulfield, VIC Australia, 5 - 7 December 2016. New York, NY, United States: ACM. doi: 10.1145/3015022.3015026
2016
Conference Publication
The influence of topic difficulty, relevance level, and document ordering on relevance judging
Damessie, Tadele T., Scholer, Falk and Culpepper, J. Shane (2016). The influence of topic difficulty, relevance level, and document ordering on relevance judging. ADCS '16: 21st Australasian Document Computing Symposium, Caulfield, VIC Australia, 5 - 7 December 2016. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3015022.3015033
2016
Conference Publication
Modeling relevance as a function of retrieval rank
Lu, Xiaolu, Moffat, Alistair and Culpepper, J. Shane (2016). Modeling relevance as a function of retrieval rank. 12th Asia Information Retrieval Societies Conference, AIRS 2016, Beijing, China, 30 November - 2 December 2016. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-319-48051-0_1
2016
Conference Publication
Spatial textual top-k search in mobile peer-to-peer networks
Nghiem, Thao P., Ma, Cong, Culpepper, J. Shane and Sellis, Timos (2016). Spatial textual top-k search in mobile peer-to-peer networks. 27th Australasian Database Conference on Databases Theory and Applications, ADC 2016, Sydney, NSW Australia, 28-29 September 2016. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-46922-5_6
2016
Conference Publication
Efficient and effective higher order proximity modeling
Lu, Xiaolu, Moffat, Alistair and Culpepper, J. Shane (2016). Efficient and effective higher order proximity modeling. 2016 ACM International Conference on the Theory of Information Retrieval, Newark, NJ United States, 12 - 16 September 2016. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/2970398.2970404
Funding
Current funding
Supervision
Availability
- Professor Shane Culpepper is:
- Available for supervision
Looking for a supervisor? Read our advice on how to choose a supervisor.
Available projects
-
Large Language Models for Search and Recommendation
Large Language Models such as ChatGPT offer enormous promise to users completing everyday tasks. However, these models confidently provide misinformation which can be very convincing. This project aims to explore new techniques to improve the effectiveness of LLMs.
Supervision history
Current supervision
-
Doctor Philosophy
Using Large Language Models and Knowledge Graphs to Improve Search and Recommendation
Principal Advisor
Other advisors: Dr Joel Mackenzie
-
Doctor Philosophy
Efficient Next-Generation Information Retrieval Systems
Associate Advisor
Other advisors: Dr Joel Mackenzie
Media
Enquiries
Contact Professor Shane Culpepper directly for media enquiries about:
- Generative AI
- Large Language Models
- Search and Recommendation
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