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Introduction to Findability
Introduction to Findability
Introduction to Findability
Introduction to Findability
Introduction to Findability
Introduction to Findability
Introduction to Findability
Introduction to Findability
Introduction to Findability
Introduction to Findability
Introduction to Findability
Introduction to Findability
Introduction to Findability
Introduction to Findability
Introduction to Findability
Introduction to Findability
Introduction to Findability
Introduction to Findability
Introduction to Findability
Introduction to Findability
Introduction to Findability
Introduction to Findability
Introduction to Findability
Introduction to Findability
Introduction to Findability
Introduction to Findability
Introduction to Findability
Introduction to Findability
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Introduction to Findability

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Introduction to Findability presentation given at the London Web Standards Group meeting on 28th May 2008.

Introduction to Findability presentation given at the London Web Standards Group meeting on 28th May 2008.

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Transcript

  • 1. Introduction to Findability 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 for information • physical • knowledge • conceptual • judgments • social
  • 9. Information • Data: a string of identified but unevaluated symbols • Information: evaluated, validated or useful data • Knowledge: information in the context of understanding Information closely tied to communication
  • 10. Memes Pieces of information transmitted from one mind to another what viral marketing is trying to achieve
  • 11. Multi-Agent Systems Systems composed of interacting intelligent agents. • reactive agents • cognitive agents Interesting base to study collective behaviour & communication patterns.
  • 12. Findability “Findability refers to the quality of being locatable or navigable.”
  • 13. Findability: item level evaluate 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. Wayfinding • Knowing where you are • Knowing your destination • Following the best route • Being able to recognise your destination • Finding your way back Directional Sense by Jan Carpman and Myron Grant. Evans & Co. (2006)
  • 16. How to make something findable? • 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 documents Precision = 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 sufficient • Existence search: search for a specific 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 End Thank you!

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