Expertise and Interests:
Information retrieval, aggregated search systems and evaluation, search behavior, text data mining, machine learning, task-based search, search assistance
B.S. (Electrical Engineering), Washington University
M.S. (Language Technologies and information Systems Management), Carnegie Mellon University
Ph.D. (Language Technologies), Carnegie Mellon University
Dr. Jaime Arguello 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. Dr. Arguello 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.
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.
Dr. Arguello holds a Ph.D. in Computer Science from Carnegie Mellon University. He publishes regularly at information retrieval venues such as SIGIR, ECIR, CIKM, and IIIX. He was a recipient of the SIGIR 2009 Best Paper Award and the ECIR 2011 Best Student Paper Award, and was awarded the NSF CAREER Award in 2015.
Courses Regularly Taught:
INLS 509: Information Retrieval
INLS 609: Experimental Information Retrieval
INLS 613: Text Data Mining
Awards and Recognition:
NSF CAREER Award, 2015
Best Meta-Reviewer Award, ECIR 2015
Best Paper Award, IIIX 2014
Deborah Barreau Award for Teaching Excellence, SILS-UNC 2014
UNC-IBM Junior Faculty Development Award (Funds: $7,500), UNC 2013
Kilgour Research Grant Award (Awarded Funds: $10,000), SILS-UNC 2012
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:
R. Capra, J. Arguello, A. Crescenzi, and E. Vardell. Differences in the Use of Search Assistance for Tasks of Varying Complexity. In SIGIR 2015: Proceedings of the 38th International ACM Conference in Research and Development in Information Retrieval. Santiago. 2015 [acceptance rate: 20%]
J. Arguello and Kyle Shaffer. Predicting Speech Acts in MOOC Forum Posts. In ICWSM2015:Proceedings of the 9th International AAAI Conference in Web and Social Media. Oxford. 2015 [acceptance rate: 19%]
J. Arguello. Improving Aggregated Search Coherence. In ECIR 2015: Proceedings of the 37th European Conference in Information Retrieval. Vienna. 2015
J. Arguello and R. Capra. The Effects of Vertical Rank and Border on Aggregated Search Coherence and Search Behavior. In CIKM 2014: Proceedings of the 23rd ACM International Conference on Information and Knowledge Management. Shanghai. 2014 [acceptance rate: 20%]
K. Brennan, D. Kelly, and J. Arguello. The Effect of Cognitive Abilities on Information search for Tasks of Varying Levels of Complexity. In IIiX ’14: Proceedings of the Information Interaction in Context Conference. Regensberg. 2014. [acceptance rate: 46%] (Best Paper Award).
J. Arguello. Predicting Search Task Difficulty. In ECIR ’14: Proceedings of 36th European Conference in Information Retrieval. Amsterdam. 2014. [acceptance rate: 23%]
J. Arguello, R. Capra, and W. Wu. Factors Affecting Aggregated Search Coherence and Search Behavior. In CIKM ’13: Proceedings of the 22nd ACM International Conference on Information and Knowledge Management. San Francisco. 2013. [acceptance rate: 17%]
R. Capra, J. Arguello, and F. Scholer. Augmenting Web Result Surrogates with Images. In CIKM ’13: Proceedings of the 22nd ACM International Conference on Information and Knowledge Management. San Francisco. 2013. [acceptance rate: 17%]
A. Crescenzi, R. Capra, and J. Arguello. Time Pressure, User Satisfaction, and Task Difficulty. In ASISandT ’13: Proceeding of 76th Annual Meeting of the American Society of Information Science and Technology. Montreal. 2013. (Poster Paper)
J. Arguello and R. Capra. The Effect of Aggregated Search Coherence on Search Behavior. In CIKM ’12: Proceedings of the 21st ACM International Conference on Information and Knowledge Management. Maui. 2012. [acceptance rate: 13.4%]
J. Arguello, D. Kelly, W. Wu, and A. Edwards. Task Complexity, Vertical Salience, and User Interaction in Aggregated Search. In SIGIR ’12: Proceedings of the 21st ACM Conference in 35th International Conference in Research and Development in Information Retrieval. Portland. 2012. [acceptance rate: 20%]
W. Wu, D. Kelly, A. Edwards, J. Arguello. Grannies, Tanning Beds, Tattoos, and NASCAR: Evaluation of Search Tasks with Varying Levels of Cognitive Complexity. In IIiX ’12: 6th International Symposium of Information Interaction in Context. Nijmegen. 2012 (Best Poster Award).