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Text Retrieval Conference / Precision and recall / Relevance / Document retrieval / Document clustering / Vector space model / Relevance feedback / Concept Search / Information science / Information retrieval / Science


Information Retrieval and Visualization using SENTINEL Margaret M. Knepper1, Robert Killam1, Kevin L. Fox1, and Ophir Frieder2 1 Harris Corporation Information Systems Division
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City

Las Vegas / Philadelphia / Melbourne / Oklahoma City / Chicago / /

Company

Figure 4 Average / INTRODUCTION Harris Corporation / Average Precision Precision / SENTINEL / Ophir Frieder2 1 Harris Corporation / /

Event

Judicial Event / Product Issues / Product Recall / /

Facility

Computer Science Illinois Institute of Technology / /

IndustryTerm

search strategies / neural network / web-browser based interface / improved ranking algorithm / information retrieval technologies / generic search / web-browser-based user interface / visualization tool / retrieval technologies / /

Organization

Illinois Institute of Technology / /

Person

Timothy McVeigh / Terry Nichols / Joon Ho Lee / /

Product

Average Precision Precision Recall / Average / Margaret M. Knepper1 / /

ProgrammingLanguage

FL / Hoc / C++ / /

ProvinceOrState

Illinois / Florida / /

PublishedMedium

The SENTINEL / /

Technology

improved ranking algorithm / VSM retrieval engine An algorithm / 3-D / neural network / retrieval technologies / scoring algorithm / 3.1 Ranking Algorithm / information retrieval technologies / ranking algorithm / /

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