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Building a Smarter Campus Home Site: Learning From Users’ Activities

Building a Smarter Campus Home Site: Learning From Users’ Activities. Derk Adams Director of Internet Development University of California, Riverside University of California Computing Services Conference August 2005. Overview. Current Development Issues New Requirements New Features

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Building a Smarter Campus Home Site: Learning From Users’ Activities

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  1. Building a Smarter Campus Home Site:Learning From Users’ Activities Derk Adams Director of Internet Development University of California, Riverside University of California Computing Services Conference August 2005

  2. Overview • Current Development Issues • New Requirements • New Features • System Information

  3. Large Number of Web Sites Current Development Issues

  4. Increase in Number and Complexity of Web Sites Current Development Issues

  5. Lack of Communication From Web Developers Current Development Issues

  6. Fewer Resources to Maintain Campus Site Current Development Issues

  7. Greater Diversity of Users Current Development Issues

  8. Increase in User Expectations Current Development Issues

  9. Divergence Between Administration Desires and Users’ Needs Current Development Issues

  10. Automatic Discovery of Resources New Requirements

  11. Quality Results New Requirements

  12. Focused Marketing and Informative Messages New Requirements

  13. No Registration New Requirements

  14. Automatic Discovery of Resources Search Engine New Features

  15. Excellent Results Use Tracking to Modify Future Results New Features

  16. Focused Marketing/Informative Messages Track Message use to Focus Messages New Features

  17. Browse Words Words Reserved for Special Handling New Features

  18. Search Engine Currently using a spider written in Perl and data stored in a MySQL database Implementing iVia and open source search engine developed at UC Riverside for the UC Library system. http://infomine.ucr.edu/iVia/ System Information

  19. Search Result Feedback Loop Each result link clicked is a vote for that link for that search term Future results for the search term are reordered based on link votes Popular and useful links move to the top of the results while less useful ones descend System Information

  20. Track Messages Information is gathered across campus through RSS feeds Each feed link clicked is a vote for that feed for that search term Feeds are shown based on popularity Random feed is still included to integrate new feeds System Information

  21. Browse Words Certain search terms are reserved Instead of a search result, results are grouped for a topic (students) Each link clicked is a vote for the page Each search done is a vote for the page Results are reordered based on vote list Cyclic events are predicted by using historical data System Information

  22. Derk Adams (derk.adams@ucr.edu) iVia (infomine.ucr.edu/iVia/) UC Riverside (www.ucr.edu/)

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