Archive for the ‘Information Retrieval’ Category

Enriched Records for Art History Catalogues: Contributing and Retrieving

February 23, 2008

Gerald Benoit, Dept of Computer Science & Grad School of Library & Information Science
Simmons College

Gerald Benoit reported for us the rationale for a 3D-based interface for navigating the results from a search query of an Art History database of images. He reviewed other 3D interfaces, reported on the user-study of his own system (which, he admitted, was a rejection of their 3D approach), and discussed the test subjects interest in “ownership” of the catalogue and its meta-data. (more…)

Collaborative Search Tools

February 9, 2008

Hailing from Microsoft Research, Meredith Morris http://research.microsoft.com/~merrie/papers/ presented two prototypes for facilitating collaborated searching — one supporting remote collaboration, another colocated. (more…)

Two topics: Patient Care Systems and Greek-language search engines

December 8, 2007

 Double header today: Computerized Patient Care systems and Greek-language search engine evaluations…

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Personal Information for a world as we want it to be

November 17, 2007

William Jones led a discussion on Personal Information Management (PIM); he also reviewed his findings from the Keeping Found Things Found (KFTF) project. In this report, I will assume that the reader is familiar with KFTF’s findings. Instead, I will point out some comments and discussion by the audience. (more…)

Facilitating User-System Coordination by Exploring Linguistic Evidence, Community Membership Information, and Perceptual Evidence

February 17, 2007

Hongyan Ma presented her dissertation work today.  Her research involves testing the power of “coordination theory” to improve search (Information Retrieval or “IR”). She developed a model and tested it through a proof-of-concept system. Her talk prompted the audience to speculate about the role of user-generated information and IR. In simple terms, a major discussion question was: “How much should we depend on user-generated content to improve search?”

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