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2017 Conference Publication Answering top-k exemplar trajectory queriesWang, 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 |
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2017 Conference Publication Personalized influential topic search via social network summarizationLi, 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 |
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2017 Conference Publication A comparison of document-at-a-time and score-at-a-time query evaluationCrane, 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 |
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2017 Conference Publication Efficient Cost-Aware Cascade Ranking in Multi-Stage RetrievalChen, 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 |
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2017 Conference Publication Gauging the Quality of Relevance Assessments using Inter-Rater AgreementDamessie, 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 |
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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 |
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2016 Conference Publication Interactive trip planning using activity trajectoriesWang, 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 |
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2016 Conference Publication Dynamic cutoff prediction in multi-stage retrieval systemsCulpepper, 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 |
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2016 Conference Publication The influence of topic difficulty, relevance level, and document ordering on relevance judgingDamessie, 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 |
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2016 Conference Publication Modeling relevance as a function of retrieval rankLu, 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 |
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2016 Conference Publication Spatial textual top-k search in mobile peer-to-peer networksNghiem, 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 |
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2016 Conference Publication The effect of document order and topic difficulty on assessor agreementDamessie, Tadele T., Järvelin, Kalervo, Scholer, Falk and Culpepper, J. Shane (2016). The effect of document order and topic difficulty on assessor agreement. Association for Computing Machinery, Inc. doi: 10.1145/2970398.2970431 |
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2016 Conference Publication Efficient and effective higher order proximity modelingLu, 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 |
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2016 Conference Publication Maximizing bichromatic reverse spatial and textual k nearest neighbor queriesChoudhury, 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 |
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2016 Journal Article Assessing efficiency–effectiveness tradeoffs in multi-stage retrieval systems without using relevance judgmentsClarke, 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 |
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2016 Journal Article The effect of pooling and evaluation depth on IR metricsLu, 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 |
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2016 Conference Publication Load-balancing in distributed selective searchKim, 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 |
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2016 Journal Article Personalized Influential Topic Search via Social Network SummarizationLi, 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 |
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2016 Conference Publication Does selective search benefit from WAND optimization?Kim, Yubin, Callan, Jamie, Culpepper, J. Shane and Moffat, Alistair (2016). Does selective search benefit from WAND optimization?. 38th European Conference on IR Research, ECIR 2016, Padua, Italy, 20-23 March 2016. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-30671-1_11 |
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2016 Conference Publication RMIT at the TREC 2016 LiveQA TrackMackenzie, Joel, Chen, Ruey-Cheng and Culpepper, J. Shane (2016). RMIT at the TREC 2016 LiveQA Track. 25th Text REtrieval Conference, TREC 2016, Gaithersburg, MD United States, 15 November 2016. Gaithersburg, MD United States: National Institute of Standards and Technology. |
