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Introduction to Findability Cyril Doussin, 28/05/08
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Introduction to Findability

Jul 05, 2015

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cyrildoussin

Introduction to Findability presentation given at the London Web Standards Group meeting on 28th May 2008.
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  • 1. Introduction toFindability Cyril Doussin, 28/05/08

2. Ambient Findability Peter Morville http://semanticstudios.com/ 3. Find discover or perceive by chance or unexpectedly discover after a deliberate search succeed in obtaining 4. Find what is exposed to us (on purpose or inadvertently) after searching 5. Searching for... physical items 6. Searching for...Knowledge about oneself about concepts (meaning of...) detailed information (eg. product) entities in the same society (people, businesses, organisations etc.) 7. Searching for...Opinions to validate feelings or judgments to establish trust relationships complementary judgments 8. Searching forinformation physical knowledge conceptual judgments social 9. Information Data: a string of identied but unevaluated symbols Information: evaluated, validated or useful data Knowledge: information in the context of understandingInformation closely tied to communication 10. Memes Pieces of information transmitted from one mind to another what viral marketing istrying to achieve 11. Multi-Agent Systems Systems composed of interacting intelligent agents. reactive agents cognitive agentsInteresting base to study collective behaviour &communication patterns. 12. FindabilityFindability refers to the quality of being locatable or navigable. 13. Findability: item levelevaluate to what degree a particular object is easy to discover or locate 14. Findability: system level how well a physical or digital environment supports navigation and retrieval 15. Waynding Knowing where you are Knowing your destination Following the best route Being able to recognise your destination Finding your way backDirectional Sense by Jan Carpman and Myron Grant. Evans & Co. (2006) 16. How to make something ndable? make sure the item is easy to discover or locate have a well-organised system which supports easy navigation and retrieval 17. In Your Face Discovery Principle Expose the item in places known to be frequented by the target audience 18. Hand-guided navigation sorting/ordering sign-posting 19. Describe & browse similar to asking for directions similar to asking random questions get list of entry-points to pages 20. Mixing things up 21. Recommendations describe intent casual discussions advice past-experiences = communication between peers 22. Web = Referral system Anyone can add signs to entry-doors on your site need for relevancy system search engines: PageRank peer based: Digg 23. Relevance Precision: how well a system retrieves only relevant documents Recall: how well a system retrieves all relevant documentsPrecision = Number relevant & retrieved / Total number retrieved Recall = Number relevant & retrieved /Total number relevant 24. Relevance Need to identify the type of search Sample search: small set of documents Precision are sufcient Existence search: search for a specic document Exhaustive search: full set of Recall documents needed 25. Content Organisation Taxonomy: organisation through labeling Ontology: taxonomy + inference rules Folksonomy: adding a social dimension Increasingly important as the volume of information grows and information is shared Very good base for search engines. 26. Measuring Findability on the Web count number of steps many ways to get to your data search engines predominant peer-based lists and directories important 27. Recommendations Aim to strike a balance between sources Know the path your audience will follow Understand type of search Make advertising relevant Make your content rich & relevant Make your content structured 28. The EndThank you!