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Journal of Web Librarianship | 2013

Manually Classifying User Search Queries on an Academic Library Web Site

Suzanne Chapman; Shevon Desai; Kat Hagedorn; Kenneth J. Varnum; Sonali Mishra; Julie Piacentine

The University of Michigan Library wanted to learn more about the kinds of searches its users were conducting through the “one search” search box on the Library Web site. Library staff conducted two investigations. A preliminary investigation in 2011 involved the manual review of the 100 most frequently occurring queries conducted through the site search box over the course of a month. Those 100 search terms accounted for 16 percent of total queries and were largely one-word searches for databases. In the follow-up investigation, the Library embarked on a more ambitious exploration of the 454,443 searches conducted during the winter 2011 semester, devising a method for selecting, categorizing, and summarizing user search queries. A sample of 1,201 searches from the search query logs was examined; after eliminating duplicate searches, there were 992 unique terms available for categorization. Using a non-overlapping sample of queries, a rubric was developed for categorizing user searches. Each of seven library staff members reviewed all unique terms in the sample to categorize them into the best fitting category from the rubric. After establishing a threshold for reliability among the individuals categorizing the queries, 862 unique search terms were analyzed. Based on this analysis, the most frequent kinds of searches conducted in the winter semester in 2011 on the University of Michigan Librarys Web site were specific databases (28 percent), topical/exploratory types of queries (28 percent), and books (including searches by title, ISBN, call number, or a combination thereof) (16 percent).Within the sample, known-item searches comprised nearly half (44 percent) of searches in the sample. Another fifth (20 percent) of total searches were categorized as “exploratory,” supporting the need to provide broader, subject-based paths to information through the site. Somewhat surprisingly, there were a small number of article searches (article titles, or mixed searches of journal names and authors and/or title words) in the search box—an indication that users understand the University of Michigan Library primary search box is not for articles.


College & Research Libraries News | 2007

Lesson Study in libraries: Building better lessons, better teachers, and better teams with creativity, collaboration, and revision

Shevon Desai; Marija Freeland; Eric Frierson


Archive | 2016

Report of the Link Resolver Implementation Team

Kenneth J. Varnum; Shevon Desai; Kathleen Folger; Kenyon Stuart; Kate Saylor; Harold Tuckett; Albert Bertram; Jon Earley; Ben Howell; Trevor Dobias; Lisa Campbell; Judith Ahronheim


Archive | 2016

Report of the Link Resolver Investigation Team

Kenneth J. Varnum; Lisa Campbell; Kathleen Folger; Judy Ahronheim; Shevon Desai; Jonathan Earley; Ben Howell; Kate Saylor


Archive | 2012

Interviews with Experienced Users Screening Survey Report

Caitlin Barta; Barbara Alvarez; Shevon Desai


Archive | 2012

Interviews with Experienced Users

Sonali Mishra; Barbara Alvarez; Shevon Desai; Kat Hagedorn; Suzanne Chapman; Caitlin Barta


Archive | 2011

Mirlyn "Available Online" Label Guerilla Test

Shevon Desai; Julie Piacentine; Jonathan Rothman; David Fulmer; Rebecca Hill; Saurabh Koparkar; Nancy Moussa; Mei Wang


Archive | 2011

Mirlyn Search Satisfaction Survey

Shevon Desai; Julie Piacentine; Jonathan Rothman; David Fulmer; Rebecca Hill; Saurabh Koparkar; Nancy Moussa; Mei Wang


Archive | 2011

Mirlyn Usability Task Force

Shevon Desai; Julie Piacentine; Jonathan Rothman; David Fulmer; Rebecca Hill; Saurabh Koparkar; Nancy Moussa; Mei Wang


Archive | 2010

Website Usability Debrief

Suzanne Chapman; Kat Hagedorn; Kenneth J. Varnum; Shevon Desai; Julie Piacentine

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