Informasjonsarkitektur Finding people in large organisations Jørgen Dalen
Finding people in large organisations Hypotheses People search: choosing relevance criteria Suggestion for solution Discus...
Hypotheses <ul><li>In large organizations, 80% of the knowledge is not documented </li></ul><ul><ul><li>Knowledge in peopl...
Choosing relevance criteria <ul><li>Use of metadata (organizational unit, competence area etc)  </li></ul><ul><li>Free tex...
User behaviour parameters Complexity Findability relevance  Social graph Content consumption Content quality rating Conten...
Suggestions <ul><li>Use a consolidated search concept </li></ul><ul><ul><li>Where people and content search are part of th...
Suggestion: use common metadata for people and content
 
 
Discussion <ul><li>What criteria should be used to rank employees? </li></ul><ul><ul><li>To avoid manipulation of ranking ...
 
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Finding People In Large Organisations Joergen Dalen

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How to design effective people search in large organisations

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Finding People In Large Organisations Joergen Dalen

  1. 1. Informasjonsarkitektur Finding people in large organisations Jørgen Dalen
  2. 2. Finding people in large organisations Hypotheses People search: choosing relevance criteria Suggestion for solution Discussion
  3. 3. Hypotheses <ul><li>In large organizations, 80% of the knowledge is not documented </li></ul><ul><ul><li>Knowledge in people’s heads </li></ul></ul><ul><ul><li>Finding the right person might be more important than finding the document </li></ul></ul><ul><li>It is a very difficult task to display the most relevant persons without editorial control (in both search result and on pages) </li></ul>
  4. 4. Choosing relevance criteria <ul><li>Use of metadata (organizational unit, competence area etc) </li></ul><ul><li>Free text attributes </li></ul><ul><li>Editorial preferences: the company determines who the domain experts are </li></ul><ul><li>User behavior parameters </li></ul><ul><ul><li>Contributions </li></ul></ul><ul><ul><li>Interests </li></ul></ul><ul><ul><li>Judgement of quality </li></ul></ul><ul><ul><li>Relations to content and other people </li></ul></ul>
  5. 5. User behaviour parameters Complexity Findability relevance Social graph Content consumption Content quality rating Content contribution Content commenting Implicit links Bookmarking Focus at this stage of the project
  6. 6. Suggestions <ul><li>Use a consolidated search concept </li></ul><ul><ul><li>Where people and content search are part of the same search session </li></ul></ul><ul><li>Use common metadata for both content and people </li></ul><ul><li>Avoid “one trick pony” relevance criteria </li></ul><ul><ul><li>People tend to adapt to whatever give them high ranking </li></ul></ul><ul><ul><li>Combine automatic and manual approaches </li></ul></ul>
  7. 7. Suggestion: use common metadata for people and content
  8. 10. Discussion <ul><li>What criteria should be used to rank employees? </li></ul><ul><ul><li>To avoid manipulation of ranking </li></ul></ul><ul><ul><li>To avoid being unethical </li></ul></ul>
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