Search Query Mining

Registered by Duncan McGreggor on 2010-10-24

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

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)

(?)

Work Items

This blueprint contains Public information 
Everyone can see this information.