Jamie Callan

Professor of Computer Science (Joint appointment with the School of Computer Science)

Jamie Callan is a Professor at the Language Technologies Institute in the School of Computer Science, with a joint appointment in the Heinz College's School of Information Systems & Management.

Prior to joining Carnegie Mellon, he was a Research Assistant Professor at the University of Massachusetts, Amherst, and worked for seven years as a software engineer for Digital Equipment Corp. Callan received his BA in Applications of Computer Science at the University of Connecticut, his MS in Computer and Information Science from the University of Massachusetts, and his PhD in Computer Science from the University of Massachusetts.

Callan's research and teaching focus on text-based information retrieval and analysis. His recent research studies advanced search engine architectures, federated search of groups of search engines, adaptive information filtering, and text analysis, organization, and mining. He has published more than 150 research papers on these subjects.

Callan participates regularly on the program committees of conferences such as SIGIR, CIKM, WSDM, and ECIR. He has been a Program Chair of the CIKM and SIGIR conferences, and has co-organized a variety of workshops. He has served on the editorial boards of several information retrieval journals, and is currently the Editor-in-Chief of ACM Transactions on Information Systems. He is a past Treasurer (1999-2003) and Chair (2003-2007) of ACM SIGIR.

Publications

Recent Publications

J. Arguello, J. Callan, F. Diaz, and J.-F. Crespo. "Sources of evidence for vertical selection." In Proceedings of the Thirty Second Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Boston. 2009.
J. Arguello, F. Diaz, and J. Callan. Learning to aggregate vertical results into web search results. In Proceedings of the 20th ACM Conference on Information and Knowledge Management (CIKM'11). 2011.
J. Arguello, J. L. Elsas, J. Callan, and J. G. Carbonell. "Document representation and query expansion models for blog recommendation." In Proceedings of the Second International Conference on Weblogs and Social Media. 2008.
J. Callan. "Search engine support for software applications" (keynote abstract). In Proceedings of the 19th ACM Conference on Information and Knowledge Management (CIKM '10), page 1. 2010.
A. Kulkarni and J. Callan. "Document allocation policies for selective searching of distributed indexes". In Proceedings of the 19th ACM Conference on Information and Knowledge Management (CIKM '10). 2010.
A. Kulkarni, A. Tigelaar, J. Callan, and D. Hiemstra. Shard ranking and cutoff estimation for topically partitioned collections. In Proceedings of the 21st ACM Conference on Information and Knowledge Management (CIKM'12). 2012.
N. Sahoo, R. Krishnan, and J. Callan. "Sampling online social networks guided by node classification." Fourth Symposium on Statistical Challenges in Electronic Commerce Research. 2008.
H. Yang and J. Callan. "A metric-based framework for automatic taxonomy induction". In Proceedings of the Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and the 4th International Joint Conference on Natural Language Processing. Singapore. 2009.
L. Zhao and J. Callan. "Effective and efficient structured retrieval" (poster description). In Proceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM '09). Hong Kong. 2009.
L. Zhao and J. Callan. Automatic term mismatch diagnosis for selective query expansion. In Proceedings of the Thirty Fifth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM. 2012.
A complete listing of Professor Callan's papers can be found here.

Additional Information

Education
Community/Public Impact

For more than a decade, Professor Callan has been co-PI of the Lemur Project, which creates and distributes open-source search engine software, search tools, and datasets that are used by a broad international research community. Each year dozens of the scientific papers published in leading conferences and journals describe research done using resources created by the Lemur Project.