This presentation outlines the principles of information seeking as a dialogue and walk though concrete examples that illustrate the principles of human-computer information retrieval (HCIR). The foundation is an interactive set retrieval approach that responds to queries with an overview of the user\'s current context and an organized set of options for incremental exploration. Contextual summaries of document sets optimize the system\'s communication with the user, while query refinement options optimize user\'s communication with the system. By enabling bidirectional communication between the user and the system, we can address the inherent limitations of best-match approaches.

1. Set Retrieval 2.0 Daniel Tunkelang Chief Scientist, Endeca

4. let’s quickly review some history…

5. 1947: Hans Peter Luhn

6. 1968: Gerald Salton

7. 1972: Karen Spärck Jones

8. 1980s: lots of progress

9. 1990s – 2000s: WWW

10. today

11. so, do we all feel lucky?

12. recession? what recession?

13. ask the users…

17. selection bias?

19. the rebuttal "Tell us what to do, and we will do it."

20. besides, search is 90% solved

22. let’s go back to the 80s for a moment

24. requirements

25. transparency

26. control

27. guidance

28. set retrieval precision = fraction of retrieved documents that are relevant recall = fraction of relevant documents that are retrieved retrieved documents relevant documents

29. the classic trade-off recall precision

30. set retrieval: 2 out of 3

31. set retrieval 2.0 = set retrieval + guidance Did you mean : guidance Related Searches Guidance Counselor Salary Guidance Counselor Job Description Definition of Guidance Guidance Counseling History of Guidance Counseling Child Guidance Career Guidance What Is the Meaning of Guidance Free Marriage Counseling Problems in Marriage Career Exploration Role of School Counselor

33. so where does guidance come from?

34. it’s people!

36. hcir cheats the trade-off recall precision

37. but how do we get there?

39. faceted search guides refinement

40. showing the right facets: microwaves

41. showing the right facets: ceiling fans

43. results-driven clarification before refinement Search : storage

44. taxonomies are so 1990s

46. facets populated using entity extraction apple production

47. bootstrap on folksonomies

48. or learn from users