Search Examples - Page 26
June 8, 2001
Sites are an important unit of hierarchy on the Web, so
clustering search hits by the site they belong to is a great way
of making users see the forest for the trees of pages in their
search results. In this example, I would probably have sorted
www.world-ready.com above www.useit.com because it would seem to
be more important to have 50 percent more pages about the query
than to have whether the highest scoring page on the site scores
83 or 82.
Clustering also works for searches within a single website,
although the structuring mechanism obviously needs to be
different. For example, results could be structured by subsite or
by category as done in this example from ZDNet. Also note the use
of shortcut links to the most important areas of the site of
interest to the user's query. I am less enamored with the
advertising search box: Even though it is clearly marked as an
ad, it intrudes too much on the user.
Note how pages that provide human-written descriptions make it
much easier for the user to determine whether the page is of
interest. Compare, for example, the first and second hits on this
page: The first hit is represented by Infoseek's automatically
generated summary of the page, and the second page is represented
by a real abstract. Also note on this page how the search engine
tries to identify a few alternative phrases that might be used
for query reformulation. I searched on "usability," so the
suggestion to search for "user interface" would most likely be
helpful and would find pages that were missed by the original
search. Obviously, the system's capability to find relevant
alternatives is limited, as shown by its second suggestion,
"Computer science institutes in Georgia." (Even though there is
one such institute that does usability research, there are much
better alternative queries.
See What People Search For
Several of the major Internet search engines have a service where
you can view random samples of the queries entered by other
users. It is quite interesting to spend a few moments to look at
the ways people phrase queries and try to estimate what they
might be trying to find. Searches provide first-hand insights
into users' wants.
(The Webcrawler service I used to collect the statistics
discussed in this chapter is at
http://webcrawler.com/cgi-bin/SearchTicker.)
In addition to looking at people who search the open Internet,
you should also study the search logs from your own site search.
Any terms that occur frequently in your search logs obviously
represent information that many users want to get but have
trouble finding on your site.
The Search Results Page - Page 25
Designing Web Usability
Search Destination Design - Page 27
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