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CS 460/594 Information Storage & Retrieval
The focus of this course is on traditional and evolving technologies
for the storing and retrieving of both full-text and multimedia
from large databases. Particular emphasis is given to the data
structures and algorithms needed to build efficient search engines
and interfaces for the World Wide Web (WWW). Topics covered include:
data compression, query and file structures, vector space models,
performance evaluation, and security. Students will participate
in a class project involving both the creation and management
(includes indexing and updating) of a large document collection on the WWW.
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| Title | Date | Location |
|---|---|---|
| Vol. I: Networking The Nerds | Feb. 11 | Hodges Lib. Aud. |
| Vol. II: Serving The Suits | Mar. 25 | Hodges Lib. Aud. |
| Vol. III: Wiring The World | Apr. 22 | Hodges Lib. Aud. |
Understanding Search Engines: Mathematical Modeling and Text Retrieval by Michael W. Berry and Murray Browne, SIAM Book Series: Software, Environments, and Tools, Philadelphia, PA, © 1999, (In Press).
| Overview/Introduction (K,B&B) |
| Document and Query Forms (K) |
| Document File Preparation (B&B) |
| Query Structures (K) |
| Query Matching (K) |
| Text Analysis (K) |
| Vector Space Models (B&B) |
| Matrix Decompositions (B&B) |
| Cluster Analysis (K) |
| Ranking and Relevance (B&B) |
| Effectiveness Measures (K) |
| User Interfaces (B&B) |
| (K=Korfhage, B&B=Berry & Browne) |