
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
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
2016
Conference Publication
Maximizing bichromatic reverse spatial and textual k nearest neighbor queries
Choudhury, Farhana M., Culpepper, J. Shane, Sellis, Timos and Cao, Xin (2016). Maximizing bichromatic reverse spatial and textual k nearest neighbor queries. 42nd International Conference on Very Large Data Bases, New Delhi, India, 9 September 2016. New York, NY United States: Association for Computing Machinery. doi: 10.14778/2904121.2904122
2016
Journal Article
The effect of pooling and evaluation depth on IR metrics
Lu, Xiaolu, Moffat, Alistair and Culpepper, J. Shane (2016). The effect of pooling and evaluation depth on IR metrics. Information Retrieval Journal, 19 (4), 416-445. doi: 10.1007/s10791-016-9282-6
2016
Journal Article
Assessing efficiency–effectiveness tradeoffs in multi-stage retrieval systems without using relevance judgments
Clarke, Charles L. A., Culpepper, J. Shane and Moffat, Alistair (2016). Assessing efficiency–effectiveness tradeoffs in multi-stage retrieval systems without using relevance judgments. Information Retrieval Journal, 19 (4), 351-377. doi: 10.1007/s10791-016-9279-1
2016
Conference Publication
Load-balancing in distributed selective search
Kim, Yubin, Callan, Jamie, Culpepper, J. Shane and Moffat, Alistair (2016). Load-balancing in distributed selective search. SIGIR '16: The 39th International ACM SIGIR conference on research and development in Information Retrieval, Pisa, Italy, 17 - 21 July 2016. New York, NY United States: Association for Computing Machinery. doi: 10.1145/2911451.2914689
2016
Journal Article
Personalized Influential Topic Search via Social Network Summarization
Li, Jianxin, Liu, Chengfei, Yu, Jeffrey Xu, Chen, Yi, Sellis, Timos and Culpepper, J. Shane (2016). Personalized Influential Topic Search via Social Network Summarization. IEEE Transactions on Knowledge and Data Engineering, 28 (7) 7434634, 1820-1834. doi: 10.1109/TKDE.2016.2542804
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
-
Master Philosophy
Search and Recommendation using Large Language Models
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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