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Relevance for the masses Richard Morgan Client Services and Support Manager Funnelback UK
Technology and technique
The tools we use to focus on the user rather than the technology… …are also a technology.
Relevance is still king We just want the stuff Our search is rubbish The search should return relevant results
Fine tuning with anecdotes Traditionally, fine tuning of search has been done by educated guessing.
Some search problems
Some search solutions
How to talk about relevance What ideas can we borrow from: Web design? Agile project management?
The search masters lament There is no time for search.
Someone has to do some work The most effective way of improving search relevance long-term is to distribute that task among the searchers. But how?
The real value of anecdotes Stakeholder interviews, usability testing, survey feedback are ways of increasing constructive engagement. Anecdotes can reveal incentives as well as patterns.
Creating metrics Evidence-based metrics turn ad-hoc engagement into a framework for engagement. But softer metrics are hard to come by.
Relevance and context Different search results are relevant to different people. Using personas.
Relevance for the masses The techniques for improving relevance are now about empowering the searchers.
1. TESTING with users... client dinners focus groups usability centers surveys web analytics beta testing pre-release TESTING with users...
SBD: Activity Design CS HCI Chris North Usability Engineering - Chapter 3.
Activity Design Goal: work from problems and opportunities of problem domain to envision new activities.
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EVALUATION PROfessional network of Master’s degrees in Informatics as a Second Competence – PROMIS ( TEMPUS FR-TEMPUS-JPCR)
Master Merge December 9, 2005 Team Swiss Brendan Doms, Mike Foss, Nate Smith.
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The presentation: 5 parts Follow Design Inquiry Framework 1. what inspired you (good or bad) [What is your BIG IDEA] 2. who are the affected stakeholders.
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SBD: Activity Design Chris North CS 3724: HCI. Problem scenarios summative evaluation Information scenarios claims about current practice analysis of.
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1 Staffordshire UNIVERSITY School of Computing Slide: 1 Prototyping Agile Software Development 1 Rapid Application Development (RAD) Iterative Prototyping.
Frameworks in project management
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Systems Thinking, Rich Mapping and Conceptual Models.
Chapter 5 Trawling For Requirements. Determining What the Product Should Be without understanding the work that it is to become a part of Many projects.
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Information architecture Summary Natalia Shatokhina CS575 Spring 2010.
TOM TORLAKSON State Superintendent of Public Instruction 1 Welcome to the STEM Task Force Funding provided by:
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GS1 Standards The Next Big Things? Steve Bratt GS1 CTO & President, Standards Development.
Case Study 6 Presented by: James Raymond Tuesday, December 6, 2004.
Page 1 INFORMATION DESIGN. Page 2 Information design builds upon the work we have done earlier in the process. We need to know who we are designing for.
Learning outcomes: PwC’s perspective
International engagement: m & e meeting Monitoring & Evaluation: an introduction for practitioners Liz Allen.
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Professor Ruth Boaden Manchester Business School
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Alberta’s Personal Health Record Platform www. MyHealth. Alberta
Consultation for the HEA eL Research Observatory Dr. Rhona Sharpe Oxford Centre for Staff and Learning Development Team: Greg Benfield.
UX and UCD at Cambridgeshire County Council Steve Grange, Project Manager, Cambridgeshire County Council, UK.
Sarah Rice - IA Summit 2004 Bottom-Up Information Architecture: Re-Design of an Enterprise Class Web Site.
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