
Overview
Background
Shane Culpepper is Professor of Artificial Intelligence at the University of Queensland in St. Lucia, Australia. Before joining the University of Queensland in 2023, Professor Culpeper held a continuing academic position at RMIT University in Melbourne, Australia. He received his PhD in Computer Science from the University of Melbourn in 2008. His research focuses primarily on building better Search and Recommendation Systems. Over his 16 year career, Professor Culpepper has supervised 19 PhD students and co-authored more than 120 peer reviewed papers with 127 different research collaborators on problems such as algorithm efficiency and scalability, new machine learning algorithms for search and recommendation systems, and evaluating search and recommendation engine quality. Professor Culpepper is also an active member in the international research community. In the last 5 years, he 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 Princpal 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 reseach grants totalling ~$3.5 Million AUD. For more information, see his personal hoomepage.
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
2019
Journal Article
Top-k trajectories with the best view
Tripto, Nafis Irtiza, Nahar, Mahjabin, Ali, Mohammed Eunus, Choudhury, Farhana Murtaza, Culpepper, J. Shane and Sellis, Timos (2019). Top-k trajectories with the best view. Geoinformatica, 23 (4), 621-661. doi: 10.1007/s10707-019-00343-4
2019
Conference Publication
Joint optimization of cascade ranking models
Gallagher, Luke, Chen, Ruey-Cheng, Blanco, Roi and Culpepper, J. Shane (2019). Joint optimization of cascade ranking models. WSDM '19: Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, Melbourne, VIC, Australia, 11 - 15 February 2019. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3289600.3290986
2019
Conference Publication
On topic difficulty in IR evaluation: the effect of systems, corpora, and system components
Zampieri, Fabio, Roitero, Kevin, Culpepper, J. Shane, Kurland, Oren and Mizzaro, Stefano (2019). On topic difficulty in IR evaluation: the effect of systems, corpora, and system components. 42nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Paris, France, 21-25 July 2019. New York, NY, United States: ACM. doi: 10.1145/3331184.3331279
2019
Conference Publication
Finding temporal influential users over evolving social networks
Huang, Shixun, Bao, Zhifeng, Culpepper, J. Shane and Zhang, Bang (2019). Finding temporal influential users over evolving social networks. IEEE 35th International Conference on Data Engineering (ICDE), Macau, China, 8 - 11 April 2019. Washington, DC, United States: I E E E Computer Society. doi: 10.1109/icde.2019.00043
2019
Conference Publication
Taking Risks with Confidence
Benham, Rodger, Carterette, Ben, Moffat, Alistair and Culpepper, J. Shane (2019). Taking Risks with Confidence. 24th Australasian Document Computing Symposium (ADCS), Sydney, NSW Australia, 5-6 December 2019. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3372124.3372125
2018
Conference Publication
The Potential of Learned Index Structures for Index Compression
Oosterhuis, Harrie, Culpepper, J. Shane and de Rijke, Maarten (2018). The Potential of Learned Index Structures for Index Compression. 23rd Australasian Document Computing Symposium (ADCS), Dunedin, New Zealand, 11-12 December 2018. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3291992.3291993
2018
Conference Publication
Improving Search Effectiveness with Field-based Relevance Modeling
Liu, Binsheng, Lu, Xiaolu, Kurland, Oren and Culpepper, J. Shane (2018). Improving Search Effectiveness with Field-based Relevance Modeling. 23rd Australasian Document Computing Symposium (ADCS), Dunedin, New Zealand, 11-12 December 2018. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3291992.3292005
2018
Conference Publication
Revisiting spam filtering in web search
Gallagher, Luke, Mackenzie, Joel and Culpepper, J. Shane (2018). Revisiting spam filtering in web search. 23rd Australasian Document Computing Symposium (ADCS), Dunedin, New Zealand, 11-12 December 2018. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3291992.3291999
2018
Journal Article
The Maximum Trajectory Coverage Query in Spatial Databases
Ali, Mohammed Eunus, Eusuf, Shadman Saqib, Abdullah, Kaysar, Choudhury, Farhana M., Culpepper, J. Shane and Sellis, Timos (2018). The Maximum Trajectory Coverage Query in Spatial Databases. Proceedings of the VLDB Endowment, 12 (3), 197-209. doi: 10.14778/3291264.3291266
2018
Conference Publication
Presentation ordering eects on assessor agreement
Damessie, Tadele T., Kim, Jaewon, Shane Culpepper, J. and Scholer, Falk (2018). Presentation ordering eects on assessor agreement. New York, NY, USA: Association for Computing Machinery. doi: 10.1145/3269206.3271750
2018
Journal Article
Finding the optimal location and keywords in obstructed and unobstructed space
Choudhury, Farhana Murtaza, Culpepper, J. Shane, Bao, Zhifeng and Sellis, Timos (2018). Finding the optimal location and keywords in obstructed and unobstructed space. The VLDB Journal, 27 (4), 445-470. doi: 10.1007/s00778-018-0504-y
2018
Conference Publication
Fusion in Information Retrieval
Kurland, Oren and Culpepper, J. Shane (2018). Fusion in Information Retrieval. 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Ann Arbor, MI United States, 8-12 July 2018. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3209978.3210186
2018
Conference Publication
Neural Query Performance Prediction using Weak Supervision from Multiple Signals
Zamani, Hamed, Croft, W. Bruce and Culpepper, J. Shane (2018). Neural Query Performance Prediction using Weak Supervision from Multiple Signals. 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Ann Arbor, MI United States, 8-12 July 2018. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3209978.3210041
2018
Conference Publication
Geo-social Influence Spanning Maximization
Li, Jianxin, Sellis, Timos, Culpepper, J. Shane, He, Zhenying, Liu, Chengfei and Wang, Junhu (2018). Geo-social Influence Spanning Maximization. 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.2018.00245
2018
Journal Article
Reverse $k$ Nearest Neighbor Search over Trajectories
Wang, Sheng, Bao, Zhifeng, Culpepper, J. Shane, Sellis, Timos and Cong, Gao (2018). Reverse $k$ Nearest Neighbor Search over Trajectories. IEEE Transactions on Knowledge and Data Engineering, 30 (4), 757-771. doi: 10.1109/tkde.2017.2776268
2018
Conference Publication
On the cost of negation for dynamic pruning
Mackenzie, Joel, Macdonald, Craig, Scholer, Falk and Culpepper, J. Shane (2018). On the cost of negation for dynamic pruning. 40th European Conference on Information Retrieval Research (ECIR), Grenoble, France, 26-29 March 2018. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-76941-7_42
2018
Conference Publication
Query driven algorithm selection in early stage retrieval
Mackenzie, Joel, Culpepper, J. Shane, Blanco, Roi, Crane, Matt, Clarke, Charles L. A. and Lin, Jimmy (2018). Query driven algorithm selection in early stage retrieval. 11th ACM International Conference on Web Search and Data Mining, Marina Del Rey, CA United States, 5-9 February 2018. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3159652.3159676
2018
Conference Publication
Torch: A Search Engine for Trajectory Data
Wang, Sheng, Bao, Zhifeng, Culpepper, J. Shane, Xie, Zizhe, Liu, Qizhi and Qin, Xiaolin (2018). Torch: A Search Engine for Trajectory Data. 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Ann Arbor, MI United States, 8-12 July 2018. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3209978.3209989
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
Funding
Current funding
Supervision
Availability
- Professor Shane Culpepper is:
- Available for supervision
Before you email them, read our advice on how to contact 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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