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Search Suggestions

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Search Suggestions

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These slides are from a talk that Tyler Tate presented at the Enterprise Search London meetup on February 4, 2010.

Careful observation seems to reveal three different approaches to search suggestions: completion, suggestion, and instant results. These approaches range in cognitive burden on the one hand, and utility on the other.

Completion is easy to understand and almost always results in a net benefit for the user. Suggestion, because it throws new ideas in the mix, is slightly more complex, but that is usually outweighed by its helpfulness. And finally, instant results work well for simple, highly structured data, but at times runs the risk of overwhelming the user.

http://blog.twigkit.com/
http://www.meetup.com/es-london/

These slides are from a talk that Tyler Tate presented at the Enterprise Search London meetup on February 4, 2010.

Careful observation seems to reveal three different approaches to search suggestions: completion, suggestion, and instant results. These approaches range in cognitive burden on the one hand, and utility on the other.

Completion is easy to understand and almost always results in a net benefit for the user. Suggestion, because it throws new ideas in the mix, is slightly more complex, but that is usually outweighed by its helpfulness. And finally, instant results work well for simple, highly structured data, but at times runs the risk of overwhelming the user.

http://blog.twigkit.com/
http://www.meetup.com/es-london/

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Search Suggestions

  1. 1. Search Suggestions Tyler Tate
  2. 2. Three Approaches ★ Completion ★ Suggestion ★ Instant Results
  3. 3. Completion
  4. 4. Bene ts: ★ Save keystrokes ★ Prevent spelling mistakes ★ Low cognitive burden
  5. 5. Suggestions
  6. 6. Bene ts: ★ Save keystrokes ★ Prevent spelling mistakes ★ Help form useful queries ★ Gauge popularity of search terms ★ Remember previous searches
  7. 7. Instant Results
  8. 8. Bene ts: ★ View results as you type ★ Jump straight to the destination Drawbacks: ★ Greater cognitive burden ★ Lose the ability to suggest queries
  9. 9. Getting it Right
  10. 10. Completion: ★ Bene ts almost always outweigh costs Suggestion: ★ Usefulness varies by accuracy of suggestions Instant Results: ★ Works best with highly structured data that need only return a few results
  11. 11. Experimental Ideas
  12. 12. Questions for Discussion ★ Do the three categories make sense to you? ★ Do the search suggestion implementations you’ve worked on fit into one of these categories? ★ Ideas on when to / when not to use suggestions? ★ Do you have other ‘experimental’ ideas?
  13. 13. @tylertate http://blog.twigkit.com

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