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The Perfect Search Engine Is Not Enough

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Presentation on theme: "The Perfect Search Engine Is Not Enough"— Presentation transcript:

1 The Perfect Search Engine Is Not Enough
Jaime Teevan, MIT with Christine Alvarado, Mark Ackerman and David Karger

2 Let Me Interview You! Web: Email: Files:
What’s the last Web page you visited? How did you get there? Have you looked for anything on the Web? What’s the last you read? What did you do with it? Have you gone back to an you’ve read before? Files: What’s the last file you looked at? How did you get to it? Have you looked for a file?

3 Overview: Understanding
Search Directed Introduction Related work Methodology What we learned How? Why? Who? So what? Prefer to search in steps Because it’s easier Step size varies by person

4 Haystack: Personal Information Storage
Web pages Haystack Lots of separate info, Haystack stores in central repository. Easy to separate info from its form, easy to connect related info. A lot of people in our group are working on getting information into the Haystack. Talk will be about a study we did to understand how information should be gotten out of the Haystack. Perhaps worth noting: What we found is not what we were expecting. Does not just reinforce the direction we were going with Haystack but has modified the direction. Files Calendar Contacts

5 Directed Search in Haystack
What was that paper I read last week about Information Retrieval? Haystack

6 Directed Search in Haystack
Ah yes! Thank you. Haystack

7 …Or Elsewhere Ah yes! Thank you. “Perfect Search Engine”

8 Related Work Directed search Observational studies [Malone83]
Lab studies [Capra03, Maglio97] Log analysis [Broder02, Spink01] Observational studies [Malone83] Information Seeking Marchionini, O’Day and Jeffries, Bates, Belkin, … Evolving information need

9 Modified Diary Study Subjects: 15 CS graduate students
Ten interviews each (2/day x 5 days) Two question types Last /file/Web page looked at Last /file/Web page looked for Supplemented with direct observation and an hour-long semi-structured interview

10 Overview: Understanding
Directed Search Introduction Related work Methodology What we learned How? Why? Who? So what?

11 Directed Search Today Target: Connie Monroe’s office number
 Type into a search engine: “Connie Monroe, office number”

12 What We Observed Interviewer: Have you looked for anything on the Web today? Jim: I had to look for the office number of the Harvard professor. I: So how did you go about doing that? J: I went to the homepage of the Math department at Harvard

13 What We Observed I: So you went to the Math department, and then what did you do over there? J: It had a place where you can find people and I went to that page and they had a dropdown list of visiting faculty, and so I went to that link and I looked for her name and there it was.

14 What We Observed J: I knew that she had a very small Web page saying, “I’m here at Harvard. Here’s my contact information.”

15 Strategies Looking for Information
Teleporting Orienteering

16 Why Do People Orienteer?
The tools don’t work Easier than saying what you want You know where you are You know what you find

17 Easier Than Saying What You Want
Describing the target is hard Can’t Prefer not to Habit “Whichever way I remember first.” Search for source E.g., Your last search

18 Stay in known space Backtracking You Know Where You Are
URL manipulation Bookmarks History Backtracking Following an information scent Never end up at a dead end

19 You Know What You Find Context gives understanding of answer
“I was looking for a specific file. But even when I saw its name, I wouldn’t have known that that was the file I wanted until I saw all of the other names in the same directory…” Understanding negative results “I basically clicked on every single button until I was convinced… I don’t think that it exists…”

20 Individual Strategies
Search strategies varied by individual People who pile information take small steps People who file information take big steps Where was the last you found? Inbox? Elsewhere?

21 File or Pile Filer Piler

22 How Individuals Search For Files
Filers Big steps Irony: Those people who had their information well classified don’t take advantage of their classification to get to their information While people who had their information all in a jumble wanted to sort through that jumble. Similar on the Web. Pilers were more likely to navigate to a specific site and do site search, an orienteering behavior While filers used a general purpose search engine like Google more often. Pilers Small steps

23 Applying What We Learned
 Support orienteering Advantages to orienteering Easier than saying what you want You know where you are You know what you find Individual differences in step size Meta-info, source, flag sources with info URL manipulation, paths apparent, all steps Answer context, trusted sources, exhaustive Allow for different step sizes

24 Structural Consistency Important
All must be the same to re-find the information!

25 Preserve What User Remembers
Supports orienteering for re-finding Allows access to new information

26 More to Learn from the Data
Differences in finding v. re-finding How organization relates to search Importance of type ( , files and Web) Looked at v. looked for  Keep in mind population

27 Questions? Teevan, J., Alvarado, C., Ackerman, M. S. and Karger, D. R. (2004). The Perfect Search Engine is Not Enough: A Study of Orienteering Behavior in Directed Search. To appear in Proceedings of CHI 2004. (Linked from Questions.

28 Relating How and What People only keyword search 39% of the time
Specific General Document Other 47 19 41 Keyword 34 23 17 People only keyword search 39% of the time What people look for related to how they look Now we understand how people search and what they search for Even looking at a subset of the orienteering behavior, we see people orienteer a lot For example, we see people orienteer to specific documents all the time Not surprising – think how you would get to, for example, a specific or a specific file We see it’s a little more likely that a person would teleport when looking for general information But while you might expect that trend to continue for specific information, instead we see that people orienteer a lot, too! Weird. Why? Surprise: Orienteer to specific information

29 Relating How and Corpus
Files Web Other 59 42 19 Keyword 06 10 64 and files: Almost never keyword searched Easy to associate information with document Web: Used keyword search much more often Additional information I don’t have time to talk about … Available if there are questions. We saw that how people searched relates to what they were searching for This table shows how the corpus people were searching in related to how they searched and files almost always orienteered Most searches were for specific information Most file searches were for documents Also, easy to associate information with the document in these cases, because they knew the information On the Web we saw more teleporting Although keyword search is easy on Web, so people may still be orienteering a lot, it’s just getting classified as orienteering

30 Relating What and Corpus
Files Web Specific 39 7 33 General 10 30 Document 08 35 14 Additional information I don’t have time to talk about … Available if there are questions. searches were primarily for specific information File searches were primarily for documents Web searches were more evenly distributed


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