Search Query Mining
Michael Terry of Waterloo U. will be discussing the user experience and user testing in relation to web searches and the data mining that can be done with related search data to improve the user experience of Ubuntu.
Tags: hci, hci-n, usability, testing, user-testing, ux, user-experience, research
Blueprint information
- Status:
- Not started
- Approver:
- Duncan McGreggor
- Priority:
- Undefined
- Drafter:
- None
- Direction:
- Needs approval
- Assignee:
- Michael Terry
- Definition:
- New
- Series goal:
- None
- Implementation:
-
Unknown
- Milestone target:
- None
- Started by
- Completed by
Related branches
Related bugs
| Bug #667509: su's "authentication failure" error should help users discover sudo | Confirmed |
Whiteboard
There are approximately 7 million Google search queries made about Ubuntu every year, or one every 5 seconds. Ranking, clustering, and mining these queries reveals the primary needs and problems of the Ubuntu community.
In this session, we will demonstrate new tools, techniques, and analytics that can quickly teach you about your users' problems and unmet needs.
We have three primary goals of this session:
1. To show the value search queries provide in knowing your users
2. To convince you to instrument your web properties to collect search query referrals
3. To pick your brains about what data and tools we can provide to empower you in your own work
Presented by Michael Terry and Adam Fourney of the University of Waterloo (hci.uwaterloo.ca)
