Craig Willis

Photo of Craig Williswillis8 [at]

Areas of Research: 

My current focus is on the temporal aspects of relevance. This includes the exploration of what it means for a query to be temporally sensitive as well as techniques for incorporating temporal information from queries and document collections into general retrieval models.

Field Exam Area: 

Information Storage and Retrieval


Temporal language models for information retrieval (tentative)

Director of Dissertation Research: 

Miles Efron


M.L.S. University of North Carolina, Chapel Hill
B.A. Geography, University of Colorado, Boulder

Selected Publications, Papers and Presentations: 

Efron, M., Willis, C., Sherman, G. (2014). "Learning Sufficient Queries for Entity Filtering." SIGIR 2014.

Fenlon, K., Senseney, M., Green, H., Bhattacharyya, S., Willis, C., Downie, J.S. (2014). "Scholar-built collections: A study of user requirements for research in large-scale digital libraries." ASIST 2014.

Willis, C., Efron, M. (2013). "Finding information in books: characteristics of full-text searches in a collection of 10 million books." ASIST 2013.

Willis, C., Losee, R. M. (2013). "A random walk on an ontology: Using thesaurus structure for automatic subject indexing." Journal of the American Society for Information Science and Technology 60(7).

Willis, C., Greenberg, J., White, H. (2012). "Analysis and Synthesis of Metadata Goals for Scientific Data." Journal of the American Society for Information Science and Technology 63(8): 1505-1520.

Related Topics

Digital Libraries, information access and retrieval, scholarly communication