School of Library and Information Science

21:142 - Web Search Engines

Syllabus

Sample Final Exams

• Sample Final Exam 1
• Sample Final Exam 2

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Exercises

• Exercise #1, due Sept. 3, by class time
• Exercise #2, due Sept. 10, by class time
• Exercise #3, due Sept. 17, by class time
• Exercise #4, due Sept. 24, by class time
  

Miscellaneous

• CiteSeer
  

• BrainBoost
• Dave's prototype
  

• 9/18 slides
• Boolean Search newspaper article
• Sherlock meta-search specification samples

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Resources

A Reference Architecture

• Type 1 The search term is used to find matching pages.  Ranking is done by greatest number of occurrences of the search term to fewest number of occurrences, weighted by a factor of 10 for title occurrences and by a factor of 5 for header 1-n occurrences.  Displayed score should be the weighted score.
• Type 2 The search term is used to find matching pages.  Ranking is done by weighting the number of occurrences of the search term by the total number of terms (words) that were found in the page.  Displayed score should be the weighted score.
• Type 3 The search term is used to find matching pages and pages linked to by those pages and pages linking to those pages.  Ranking is done by adding the inbound and outbound link counts for the identified pages within the pool of resulting pages (not the link counts that appear in the source table), plus one for matching the page itself.  Displayed score should be the total link count.

• The RBSE Spider - Balancing Effective Search Against Web Load
• I-Spider
• I-Spider database definition

Time Machines

• Wayback Machine at the Internet Archive Project

Size of the Web

• Lawrence, S. and C. L. Giles, "Searching the World Wide Web," Science, vol. 280, April 3, 1998, p. 98-100.

Search Engine Comparisons

• Search Engine Watch
• Hock, R. "How to Do Field Searching in Web Search Engines: A Field Trip," Online, vol. 22, no. 3, May/June 1998, p. 18-22.
• Berinstein, P., "Turning Visual: Image Search Engines on the Web," Online, vol. 22, no. 3, May/June 1998, p. 37-42.

Image Retrieval

• VIRM
• WebSEEK  J. R. Smith and S.-F. Chang, "An Image and Video Search Engine for the World-Wide Web," IS&T/SPIE Symposium

on Electronic Imaging: Science and Technology - Storage & Retrieval for Image and Video Databases V, San Jose, CA,
February 1997.
• My talk at the '97 Digital Library Symposium (PDF)

Retrieval Agents

• Letizia, by Henry Lieberman
• Sulla, by Dave Eichmann

Other Early Internet Information Systems

• Eichmann, D., "Assessing Repository Technology - Where to We Go From Here?" The International Journal of Software Engineering and Knowledge Engineering, September 1992, (2)3, p. 467-481.  (PDF version)
• Eichmann, D., "Advances in Network Information Discovery and Retrieval" The International Journal of Software Engineering and Knowledge Engineering, v. 5, n. 1, 1995, p. 143-160.  (PDF version)

WWW Conference Proceedings

• First International Conference on the World-Wide Web, May 25-26-27 1994, CERN, Geneva (Switzerland)
• Second International Conference on the World-Wide Web, October 17-20 1994, Chicago, IL
• Third International Conference on the World-Wide Web, April 10-14 1995, Darmstadt, Germany
• Fourth International Conference on the World-Wide Web, December 11-14, 1995, Boston, MA

Lists of Search Engines

• Fall '98
• Summer '98
• Fall '97

Last modified: September 3, 2003.