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2024 Conference Publication A fully on-disk updatable learned indexLan, Hai, Bao, Zhifeng, Culpepper, J. Shane, Borovica-Gajic, Renata and Dong, Yu (2024). A fully on-disk updatable learned index. 2024 IEEE 40th International Conference on Data Engineering (ICDE), Utrecht, Netherlands, 13-16 May 2024. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/icde60146.2024.00369 |
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2024 Conference Publication Enhancing human annotation: leveraging large language models and efficient batch processingZendel, Oleg, Culpepper, J. Shane, Scholer, Falk and Thomas, Paul (2024). Enhancing human annotation: leveraging large language models and efficient batch processing. CHIIR ’24: 2024 Conference on Human Information Interaction and Retrieval, Sheffield, United Kingdom, 10-14 March 2024. New York, NY, United States: ACM. doi: 10.1145/3627508.3638322 |
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2024 Conference Publication Optimizing data acquisition to enhance machine learning performanceWang, Tingting, Huang, Shixun, Bao, Zhifeng, Culpepper, J. Shane, Dedeoglu, Volkan and Arablouei, Reza (2024). Optimizing data acquisition to enhance machine learning performance. 50th International Conference on Very Large Data Bases, Guangzhou, China, 26-30 August 2024. New York, NY, United States: Association for Computing Machinery. doi: 10.14778/3648160.3648172 |
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2024 Conference Publication Navigating data repositories: utilizing line charts to discover relevant datasetsJi, Daomin, Luo, Hui, Bao, Zhifeng and Culpepper, Shane (2024). Navigating data repositories: utilizing line charts to discover relevant datasets. 50th International Conference on Very Large Databases, Guangzhou, China, 26-30 August 2024. New York, NY, United States: Association for Computing Machinery. doi: 10.14778/3685800.3685857 |
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2023 Conference Publication Facility relocation search for good: when facility exposure meets user convenienceLuo, Hui, Bao, Zhifeng, Culpepper, J. Shane, Li, Mingzhao and Zhao, Yanchang (2023). Facility relocation search for good: when facility exposure meets user convenience. ACM Web Conference 2023, Austin, TX, United States, 30 April - 4 May 2023. New York, NY, United States: ACM. doi: 10.1145/3543507.3583859 |
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2023 Conference Publication Entropy-based query performance prediction for neural information retrieval systemsZendel, Oleg, Liu, Binsheng, Culpepper, J. Shane and Scholer, Falk (2023). Entropy-based query performance prediction for neural information retrieval systems. QPP++ 2023: Query Performance Prediction and Its Evaluation in New Tasks, co-located with The 45th European Conference on Information Retrieval (ECIR), Dublin, Ireland, 2 - 6 April 2023. CEUR-WS. |
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2022 Conference Publication Representative routes discovery from massive trajectoriesWang, Tingting, Huang, Shixun, Bao, Zhifeng, Culpepper, J. Shane and Arablouei, Reza (2022). Representative routes discovery from massive trajectories. KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, United States, 14 - 18 August 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3534678.3539079 |
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2022 Conference Publication Can users predict relative query effectiveness?Zendel, Oleg, Ebrahim, Melika P., Culpepper, J. Shane, Moffat, Alistair and Scholer, Falk (2022). Can users predict relative query effectiveness?. 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Madrid, Spain, 11-15 July 2022. New York, NY USA: Assocation for Computing Machinery. doi: 10.1145/3477495.3531893 |
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2021 Conference Publication Different keystrokes for different folks: visualizing crowdworker querying behaviorBenham, Rodger, MacKenzie, Joel, Culpepper, J. Shane and Moffat, Alistair (2021). Different keystrokes for different folks: visualizing crowdworker querying behavior. CHIIR '21: ACM SIGIR Conference on Human Information Interaction and Retrieval, Canberra, ACT Australia, 14 - 19 March 2021. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3406522.3446054 |
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2021 Conference Publication Is query performance prediction with multiple query variations harder than topic performance prediction?Zendel, Oleg, Culpepper, J. Shane and Scholer, Falk (2021). Is query performance prediction with multiple query variations harder than topic performance prediction?. 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual, 11-15 July 2021. New York, NY, United States: ACM. doi: 10.1145/3404835.3463039 |
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2021 Conference Publication An enhanced evaluation framework for query performance predictionFaggioli, Guglielmo, Zendel, Oleg, Culpepper, J. Shane, Ferro, Nicola and Scholer, Falk (2021). An enhanced evaluation framework for query performance prediction. 43rd European Conference on IR Research, ECIR 2021, Virtual, 28 March - 1 April 2021. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-72113-8_8 |
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2021 Conference Publication Generalizing discriminative retrieval models using generative tasksLiu, Binsheng, Zamani, Hamed, Lu, Xiaolu and Culpepper, J. Shane (2021). Generalizing discriminative retrieval models using generative tasks. 30th World Wide Web Conference (WWW), Virtual, 12-23 April 2021. New York, NY, United States: ACM. doi: 10.1145/3442381.3449863 |
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2021 Conference Publication Bayesian system inference on shallow poolsBenham, Rodger, Moffat, Alistair and Culpepper, J. Shane (2021). Bayesian system inference on shallow pools. 43rd European Conference on IR Research, ECIR 2021, Virtual, 28 March - 1 April 2021. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-72240-1_17 |
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2021 Conference Publication Do hard topics exist? A statistical analysisCulpepper, J. Shane, Faggioli, Guglielmo, Ferro, Nicola and Kurland, Oren (2021). Do hard topics exist? A statistical analysis. IIR 2021: 11th Italian Information Retrieval Workshop 2021, Bari, Italy, 13-15 September 2021. Aachen, Germany: Rheinisch-Westfaelische Technische Hochschule Aachen. |
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2020 Conference Publication CC-News-En : A large English news corpusMackenzie, Joel, Benham, Rodger, Petri, Matthias, Trippas, Johanne R., Culpepper, J. Shane and Moffat, Alistair (2020). CC-News-En : A large English news corpus. CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Online, 19 - 23 October 2020. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3340531.3412762 |
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2020 Conference Publication Feature extraction for large-scale text collectionsGallagher, Luke, Mallia, Antonio, Culpepper, J. Shane, Suel, Torsten and Cambazoglu, B. Barla (2020). Feature extraction for large-scale text collections. 29th ACM International Conference on Information and Knowledge Management (CIKM), Virtual, 19-23 October 2020. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3340531.3412773 |
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2020 Conference Publication Cluster-based document retrieval with multiple queriesBernstein, Kfir, Raiber, Fiana, Kurland, Oren and Shane Culpepper, J. (2020). Cluster-based document retrieval with multiple queries. ICTIR '20: The 2020 ACM SIGIR International Conference on the Theory of Information Retrieval, Virtual, 14-17 September 2020. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3409256.3409825 |
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2020 Conference Publication Spatial object recommendation with hints: when spatial granularity mattersLuo, Hui, Zhou, Jingbo, Bao, Zhifeng, Li, Shuangli, Culpepper, J. Shane, Ying, Haochao, Liu, Hao and Xiong, Hui (2020). Spatial object recommendation with hints: when spatial granularity matters. 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Virtual, 25-30 July 2020. New York, NY, United States: ACM. doi: 10.1145/3397271.3401090 |
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2020 Conference Publication Bayesian inferential risk evaluation on multiple IR systemsBenham, Rodger, Carterette, Ben, Culpepper, J. Shane and Moffat, Alistair (2020). Bayesian inferential risk evaluation on multiple IR systems. 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Virtual, 25-30 July 2020. New York, NY, United States: ACM. doi: 10.1145/3397271.3401033 |
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2020 Conference Publication Temporal network representation learning via historical neighborhoods aggregationHuang, Shixun, Bao, Zhifeng, Li, Guoliang, Zhou, Yanghao and Culpepper, J. Shane (2020). Temporal network representation learning via historical neighborhoods aggregation. IEEE 36th International Conference on Data Engineering (ICDE), Dallas, TX, United States, 20-24 April 2020. Los Alamitos, CA, United States: IEEE Computer Society. doi: 10.1109/icde48307.2020.00101 |
