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Sep 02, 2004: IA Heuristics for Search Systems Another day, another project, another set of IA heuristics.
By Smashing Magazine Editorial and György Fekete On content-heavy websites, the search box is often the most frequently used design element.
Understanding of your site visitors’ intent is one of the most delightful parts of web data analysis. In this article, we’ll learn five ways to analyze your internal site-search data—data that’s easy to get, to understand, and to act on. But let’s take a step back.
Anomalous States of Knowledge as a Basis for Information Retrieval N.J.Belkin The Author
By Matteo Penzo Published: January 23, 2006 “The usability of forms is often massively important to the overall usability of a Web site.”
How do you go about testing your site’s search functionality?
As you examine the many possible characteristics of searches, it should become clear that many of these characteristics describe different aspects of search.
Over the past year, I’ve evaluated the search experiences on a number of popular content sites. With the help of author and interface designer Darcy DiNucci , I picked apart the search and result designs from sites like Apple.com , NASA.gov , SchwabFoundation.org , and a variety of others. We focused on content sites, rather than e-commerce or Web applications, and we avoided general Web search engines entirely.
Jacquelyn Krones (Photo: Annie Laurie Malarkey)
I discovered the concepts in this article while preparing material for an introductory information architecture workshop. In the workshop, I thought it important to highlight that one aspect of designing for users was to understand the ways in which they may approach an information task. I was already familiar with the concepts of known-item and exploratory information seeking: they are common in the library and information science literature and are also discussed in Information Architecture for the World Wide Web . In my work on intranets and complex websites, I noticed a range of situations where people didn’t necessarily know what they needed to know. Additionally, when I opened my browser history to look for examples from recently-visited sites, I noticed that the majority of my own time was spent trying to find things that I had already discovered. These two modes didn’t fit into the concepts of known-item and exploratory information seeking.
This is part 11 in a (never ending?) series of articles on Indexing and Searching the ISFDB.org data using Solr . When we left off last time, we had used a domain specific biasing function to improve the order of our results so popular Authors and Titles surfaced at the top of results.