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.
Efron, M., Organisciak, P., & Fenlon, K. (2012). Improving retrieval of short texts through document expansion. Proceedings of the 35th international ACM SIGIR conference on research and development in information retrieval. 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
Fenlon, K., Efron, M., & Organisciak, P. (2012). Tooling the Aggregator's Workbench: Metadata visualization through statistical text analysis. Proceedings of the Annual Meeting of the American Society for Information Science and Technology, 49
. Read more
More CIRSS publications
March 13 2013Research Showcase 2013
On Friday March 29, from 12:00PM - 5:00PM, CIRSS faculty and students will join GSLIS colleagues to present and share their research in a series of posters, presentations, and demonstrations. University of Illinois Vice Chancellor for Research Peter ... October 22 2012CIRSS to make strong showing at ASIS&T 2012
CIRSS Faculty, Affiliated Faculty, PhD Students, and Staff will be making yet another strong showing at ASIS&T's annual meeting. Taking place October 26-30, 2012 the ASIS&T Annual Meeting is a primary venue for disseminating researc... October 15 2011Efron, 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 L...
August 31 2012
Improving Retrieval of Short Texts Through Document Expansion
Collections containing a large number of short documents are becoming increasingly common. As these collections grow in number and size, providing effective retrieval of brief texts presents a significant research problem. We propose a novel approach to i ...March 16 2012
Building Topic Models in a Federated Digital Library Through Selective Document Exclusion
Building topic models in federated digital collections presents numerous challenges due to metadata inconsistencies. The quality of topical metadata is difficult to ascertain and is interspersed with often irrelevant administrative metadata. In this study ...September 09 2011
Estimation Methods for Ranking Recent Information
Temporal factors often constitute a crucial dimension of relevance during information seeking. In addition to topically relevant documents, a good information retrieval (IR) system should retrieve documents that are timely. This talk will address statisti ...September 17 2010
Hashtag Retrieval in a Microblogging Environment
The paper, which Miles presented at this summer's SIGIR conference in Switzerland, will report on how information retrieval (IR) systems can improve access to microblog information through user-generated metadata, such as hashtags in Twitter. Miles ...
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