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Weimao Ke receives Outstanding Online Faculty Award at Drexel University

Dr. Weimao Ke has been selected as the recipient of the 2013 Outstanding Online Faculty Award for National Distance Learning Week.
This award recognizes one member from each college/school at Drexel University, as selected by the dean, who has demonstrated a commitment and contribution to the field of online learning. An awards reception is being held on Tuesday, November 12, 2013 from 6 p.m. to 9 p.m.at the Philadelphia History Museum. 
Additional information can be found at: http://www.drexel.com/NDLW

 

Weimao Ke's paper receives best paper nomination at JCDL

One research paper authored by Weimao Ke has been nominated for the Vannevar Bush Best Paper Award for the ACM/IEEE Joint Conference on Digital Libraries (JCDL'13).
Ke, Weimao. "Information-theoretic Term Weighting Schemes for Document Clustering." In ACM/IEEE Joint Conference on Digital Libraries, 1-10., 2013.

Papers of LiNCS researchers accepted to ACM/IEEE JCDL

HomeOne research paper authored by Weimao Ke and the other first-authored by Xuemei Gong have been accepted to the ACM/IEEE Joint Conference on Digital Libraries (JCDL'13).

Paper of LiNCS researchers accepted to JASIST

Web search engines are the gateway for users to access health information. This study explored whether a search interface based on the Bing API and enabled by Scatter/Gather, a well-known document clustering technique, can improve health information search. Forty participants without medical background were randomly assigned to two interfaces, a baseline interface that resembles typical Web search engines and a Scatter/Gather interface. Both groups performed two lookup and two exploratory health-related tasks.

Weimao Ke and Javed Mostafa publish in ACM TOIS

With the ubiquitous production, distribution and consumption of information, today’s digital envi- ronments such as the Web are becoming increasingly large and decentralized. It is hardly possible to obtain central control over information collections and systems in these environments. Search- ing for information in these information spaces has brought about problems beyond traditional boundaries of information retrieval (IR) research.

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