A presentation about the design patterns for search
described in the book “Search Patterns”
by Peter Morville and Jeffery Callender, with examples from Swedish websites using the search engine SiteSeeker.
The presentation was held at Geek Girl Meetup May 2010 in Stockholm, Sweden.
DevoxxFR 2024 Reproducible Builds with Apache Maven
Search Patterns: How to design a great search experience
1. Search Patterns:
How to design a great
search experience
GeekGirlMeetup 22 May 2010
Stockholm, Sweden
Pernilla Näsfors
2. Pernilla Näsfors – Who am I?
80% developer at Euroling, the company behind the
enterprise search engine SiteSeeker for websites,
intranets and e-commerce.
20+% IT consultant at my own company Social
Polymedia, where Social = Socialt entrepreneurship
& Social media and Polymedia = multiple media.
The presentation can be found at
http://www.slideshare.net/pernillanasfors
3. Today I will talk about…
Design patterns for search,
described in the book “Search Patterns”
by Peter Morville and Jeffery Callender
The slides can be found at
http://www.slideshare.net/pernillanasfors
5. Why?
In search, you’re only as good as your first
results.
The top 3 results will draw 80% of the attention.
On most sites, a few very common queries
account for a major percent of searches.
A relatively small amount of human effort can
make a big impact, by creating Best Bets.
6. Best First with Best Bets
Manually mapping the most common queries to
one or more starting points.
9. How?
1. Pick the most common search queries
2. Find the most common inflectional form
3. Make sure all the queries get 1 or more hit
4. Match the typed letters to the suggestions
5. Look for spelling suggestions
10. Challenges
What will you do when you don’t get any
suggestions?
Match only the relevant parts of a word:
If the user starts writing ”me..” you
should match ”GeekGirlMeetup” but not
”Bummer”
18. When?
Almost ubiquitous in e-commerce given the
availability of structured metadata and the clear
business value of improving findability.
How?
Usually requires significant investment. Human
effort required for defining metadata fields and
values. Tagging can be distributed and/or semi-
automated.
21. What?
Includes whatever simple search doesn’t
Often serves as an anti-pattern, a lesson in
what not to do...
Only a few users actually use advanced search
Is it a user-friendly query builder for novices or
a power tool for experts?
22. Can be woven into the main search experience
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23. How else might users wish to search?
Think outside the box! Explore by singing (Midomi),
drawing (GazoPa), color (Etsy, SIGNERAT.se) etc.
25. Why?
A compelling vision, but personalization
is a hard problem.
What we wanted yesterday or last year
often fails to predict our interest and
wishes today and tomorrow.
26. Sometimes, personalization really works like magic
Recommendation services such as Last.fm, Glue
or Amazon can find things using similar tastes.
32. What?
Search rarely stands alone. In most
contexts, users move between modes of
searching, browsing, and asking.
You can also use search for other things
than it is traditionally used for.