BS (Electrical Engineering), Washington University
MS (Language Technologies and Information Systems Management), Carnegie Mellon University
PhD (Language Technologies), Carnegie Mellon University
Dr. Jaime Arguello, Professor at the UNC School of Information and Library Science (SILS), teaches courses and conducts research in the areas of information retrieval, data mining, and machine learning. His main area of research is aggregated search, where the goal is to develop search systems that integrate results from multiple independent sources. He develops algorithms and evaluation methodologies for deciding which sources to select and how to display them. His most recent research studies how users interact with aggregated search displays and how differences in display affect users’ expectations and behaviors. He received a 2015 NSF CAREER Award for a five-year project titled “Making Aggregated Search Results More Effective and Useful.”
Dr. Arguello’s second main area of research focuses on search assistance, where the goal is to develop interactions to help search engine users working on complex tasks. This research aims to understand when and how people employ search assistance. The ultimate goal is to develop systems that automatically provide assistance at the right times and in the appropriate ways. In 2017, Dr. Arguello and SILS Associate Professor Robert Capra received an NSF grant worth nearly $500,000 to develop and evaluate systems that will automatically display relevant search trails as a form of search assistance to users.
Dr. Arguello holds a PhD in Computer Science from Carnegie Mellon University, and publishes regularly at information retrieval venues such as SIGIR, ECIR, CIKM, and IIIX.
Courses Regularly Taught:
INLS 509: Information Retrieval
INLS 613: Text Data Mining
INLS 890: Experimental Information Retrieval
Awards and Recognition:
Best Paper Award, ECIR 2017
Distinguished Teaching Award for Post-Baccalaureate Instruction, UNC-Chapel Hill 2017
Best Meta-Reviewer Award, ECIR 2015
Best Paper Award, IIIX 2014
Deborah Barreau Award for Teaching Excellence, UNC SILS 2014
UNC-IBM Junior Faculty Development Award (Funds: $7,500), UNC 2013
Best Poster Award, IIIX 20012
Best Student Paper Award, ECIR 2011
Best Paper Award, SIGIR 2009
Yahoo! Key Scientific Challenges Award, 2009
Best Paper Award Nomination, ICWSM 2008
Selected Publications, Papers, Presentations:
Jaime Arguello, Adam Ferguson, Emery Fine, Bhaskar Mitra, Hamed Zamani, and Fernando Diaz. Tip of the Tongue Known-Item Retrieval: A Case Study in Movie Identification. Proceedings of the 6th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR'21), 2021.
Bogeum Choi, Jaime Arguello, and Robert Capra. OrgBox: A Knowledge Representation Tool to Support Complex Search Tasks. Proceedings of the 6th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR'21), 2021.
Rachel Stemerman, Jaime Arguello, Jane Brice, Ashok Krishnamurthy, Mary Houston, and Rebecca Kitzmiller. Identification of Social Determinants of Health using Multi-Label Slassification of Electronic Health Record Clinical Notes. JAMIA open. Oxford University Press. 2021.
Jiaming Qu, Jaime Arguello, and Yue Wang. A Deep Analysis of an Explainable Retrieval Model for Precision Medicine Literature Search. Proceedings of the 43rd European Conference in Information Retrieval (ECIR'21), 2021.
Heather L. O'Brien, Jaime Arguello, and Robert Capra. An Empirical Study of Interest, Task Complexity, and Search Behaviour on User Engagement. Information Processing & Management. 57(3). ScienceDirect. 2020.
Jaime Arguello and Robert Capra. Sources of Evidence for Interactive Table Completion. Proceedings of the 5th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR'20), 2020.
Bogeum Choi and Jaime Arguello. Qualitative Analysis of the Effects of Task Complexity on the Functional Role of Information. Proceedings of the 5th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR'20), 2020.
Ashley C Griffin, Zhaopeng Xing, Saif Khairat, Yue Wang, Stacy Bailey, Jaime Arguello, and Arlene E Chung. Conversational Agents for Chronic Disease Self-Management: A Systematic Review. Annual Symposium Proceedings (AMIA'20). 2020.
Kelsey Urgo, Jaime Arguello, and Robert Capra. The Effects of Learning Objectives on Searchers’ Perceptions and Behaviors. Proceedings of the 2020 ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR'20), 2020.
Bogeum Choi, Austin Ward, Yuan Li, Jaime Arguello, and Robert Capra. The Effects of Task Complexity on the Use of Different Types of Information in a Search Assistance Tool. ACM Transactions of Information Systems. 38(1). ACM. 2019.
Jaime Arguello and Bogeum Choi. The Effects of Working Memory, Perceptual Speed, and Inhibition in Aggregated Search. ACM Transactions of Information Systems. 37(3). ACM. 2019.
Jaime Arguello and Anita Crescenzi. Using Principal Component Analysis to Better UnderstandBehavioral Measures and their Effects. Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR'19), 2019.
Kelsey Urgo, Jaime Arguello, and Robert Capra. Anderson and Krathwohl’s Two-Dimensional Taxonomy Applied to Task Creation and Learning Assessment. Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR'19), 2019.
Robert Capra and Jaime Arguello. Using Trails to Support Users with Tasks of Varying Scope. Poceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. (SIGIR'19), 2019.
Sandeep Avula, Jaime Arguello, Robert Capra, Jordan Dodson, Yuhui Huang, and Filip Radlinski. Embedding Search into a Conversational Platform to SupportCollaborative Search. Proceedings of the 4th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR'19), 2019.
Bogeum Choi, Robert Capra, and Jaime Arguello The Effects of Working Memory during Search Tasks of Varying Complexity. Proceedings of the 4th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR'19), 2019.
Robert Capra, Jaime Arguello, and Yinglong Zhang. The Effects of Search Task Determinability on Search Behavior. Proceedings of the 39th European Conference on Information Retrieval. (ECIR'17), 2017. (Best Paper Award)
Jaime Arguello and Robert Capra. The Effects of Aggregated Search Coherence on Search Behavior. ACM Transactions of Information Systems. 35(1). ACM. 2016.