The document discusses the Endeca Search software, including its functionality like keyword searching, relevance ranking, and faceted classification. It also covers how Endeca is extensible through features like taxonomy trees and thesaurus creation. Examples are given of how Endeca has been implemented at institutions like North Carolina State University and in applications like Harvard Business Online.

1. Endeca Search, Information
Access and Guided Navigation
A presentation to WRLC Libraries
January 17, 2007
Marianne E. Giltrud, MSLS

2. Functionality
 Keyword searching
 Relevance ranking
 Boolean
 Wild card
 Subject access
 Known items searching
 Faceted classification

3. Extensibility
 Taxonomy Tree
 New Releases
 Models of relevance Title vs abstract
 Thesaurus-Create Rules
 MARC adapters
 Report Generator-Usage serach terms or
browse paths

4. Interoperability
 Skins lay over OPAC
 Exposes exploration and discovery
 Data driven application
 Can provide segmented results
 OPAC and Metalib

5. North Carolina State University
 NCSU Libraries
– Andrew Pace
 http://www.lib.ncsu.edu/
 Browse New Books
 Narrow Search LCSH
 Narrow Search
– Subject
– Genre
– Format
– Era
– Language
– Author

6. Other Examples
 Harvard Business Online
 http://harvardbusinessonline.hbsp.harvard.edu/b01/en/home/index.jhtml?_requestid=113229
– Most Popular vs.Publication date
 Barnes and Noble
http://www.barnesandnoble.com/index.asp?z=y

– Book Browser
 Endeca Demo
– http://endeca.com/demo.html