Abstract
We live in an information age that requires us, more than ever, to represent, access, and use information. Over the last several decades, we have developed a modern science and technology for information retrieval, relentlessly pursuing the vision of a “memex” that Vannevar Bush proposed in his seminal article, “As We May Think”.
Faceted search plays a key role in this program. Faceted search addresses weaknesses of conventional search approaches and has emerged as a foundation for interactive information retrieval. User studies demonstrate that faceted search provides more effective information seeking support to users than best-first search. Indeed, faceted search has become increasingly prevalent in online information access systems, particularly for ecommerce and site search.
In this lecture, we explore the history, theory, and practice of faceted search. While we cannot hope to be exhaustive, our hope is to provide sufficient depth and breadth to offer a useful resource to both researchers and practitioners. Because faceted search is an area of interest to computer scientists, information scientists, interface designers, and usability researchers, we do not assume that the reader is a specialist in any of these fields. Rather, we offer a self-contained treatment of the topic, with an extensive bibliography for those who would like to pursue particular aspects in more depth.
Reviews
- Nadav Har’El, Researcher at IBM’s Haifa Research Laboratory
“a fantastic start of a book about faceted search” - Gregor Erbach, IT Expert at the Library of the European Parliament
“great as a first introduction to the field” - Sol Lederman, Federated Search Blog
“provides a good education to readers” - Peter Morville, Author of Ambient Findability and Information Architecture for the World Wide Web
“the definitive book on faceted search, suitable for researchers and practitioners alike“
Order at Amazon or Barnes & Noble today! Read a free chapter at Jared Spool’s UIE site.
10 replies on “Faceted Search: The Book”
[…] faceted search and offers some usability tips. It’s not quite as comprehensive as my upcoming book, but it’s also free and is somewhat less than 100 […]
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[…] at Hunch, I’m still skeptical about decision trees. Maybe I’m a bit too biased toward faceted search, but I don’t like having such a rigid decision making process. Apparently they’re not […]
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Out of curiousity, how’d you choose the publisher? I’m particularly curious about whether you considered self publishing with Lulu or CreateSpace, and if so, why you rejected that option.
FWIW, captcha wasn’t working or I’m going blind. Does it time out?
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I served as a reviewer for the Ryen White and Resa Roth’s book on Exploratory Search, and then asked Gary Marchionini what was involved in contributing to the series. Next thing I knew, I was starting at a contract! I didn’t consider self-publishing, so I didn’t look into the options for doing so. I don’t rule that out in the future–after all, I do blog and post all of my presentations online! But in this case the credibility and respectability of the series were major factors. I felt that was worth the cost of not being able to distribute copies for free.
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[…] think of a better way to start a holiday weekend than by uploading the revised chapters of my faceted search book to the publisher. It was the first–and hopefully last–time that I have hand-edited pdf […]
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[…] BOOK […]
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[…] was while reading a recent book on faceted search by Daniel Tunkelang that I came across the answer to a question that has troubled me for some time. […]
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[…] of the people I contacted then discovered I was looking for volunteers to review the draft of my book–and I thus obtained hours of help of someone who, just a day before, had never heard of […]
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[…] finished reading Daniel Tunkelang’s recently published book on Faceted Search. I read Daniel’s blog (“The Noisy Channel“) regularly, and […]
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[…] space allows—to help customers make the right choices. As Daniel Tunkelang notes in his book Faceted Search, showing four to seven values for each aspect seems like the sweet spot. His finding is well […]
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