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Miles Efron
Associate Professor

mefron
Miles Efron's research areas are information retrieval, text mining, computational modeling of subjective aspects of documents (e.g., bias, emotion, opinion), information access in specialized domains, such as institutional repositories, and in mobile settings. He is currently working on a project about improving information retrieval and discovery in institutional repositories.

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Contact

Phone: 217-265-0825
Fax: 217-244-3302
Email: mefron@illinois.edu

CIRSS Publications

Efron, M. (2015, April). Text Timeseries: Improving Information Retrieval by Identifying Highly Relevant Document Passages. Presentation at the 2015 GSLIS Research Showcase. Read more

Willis, C., & Efron, M. (2013, November). Finding Information in Books: Characteristics of Full-Text Searches in a Collection of 10 Million Books. Paper presented at ASIS&T 2013, Montreal, Canada. Read more

Organisciak, P., Efron, M., Fenlon, K., & Senseney, M. (2012, October). Evaluating Rater Quality and Rating Difficulty in Online Annotation Activities. Proceedings of the Annual Meeting of the American Society for Information Science and Technology, 49. Read more

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CIRSS Projects

CIRSS News

October 15, 2011
Efron, Organisciak and Fenlon win best paper award at ASIST 2011
CIRSS faculty affiliate Miles Efron and CIRSS graduate students Peter Organisciak and Katrina Fenlon have won this year's best paper award at the American Society for Information Science and Technology (ASIS&T) annual meeting in New Orleans LA, O…

Past CIRSS Events

November 7, 2014
Estimating Anchored Relevance Models during Information Retrieval
Query expansion via relevance feedback is a well-known method for improving the effectiveness of search engines.  However, standard feedback methods suffer from several problems.  First, feedback-ba…

April 30, 2014
Discussion session -- Obtaining funding from foundations, industry and new sponsors
As government sources of grant funding shrink, researchers may look to expand their pool of sponsors. GSLIS faculty who have obtained research funding from foundations, industry and other sponsors le…

October 18, 2013
Finding Information in Books: Characteristics of Full-Text Searches in a Collection of 10 Million Books
Searching large collections of digitized books is a relatively new area in information-seeking and retrieval research, made possible by initiatives such as Google Books and the HathiTrust Digital Libr…

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