Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
    data analytics and gold trading
    Data Analytics and the New Era of Gold Trading
    9 Min Read
    composable analytics
    How Composable Analytics Unlocks Modular Agility for Data Teams
    9 Min Read
    data mining to find the right poly bag makers
    Using Data Analytics to Choose the Best Poly Mailer Bags
    12 Min Read
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Marti Hearst’s Book on Search User Interfaces
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > Marti Hearst’s Book on Search User Interfaces
Uncategorized

Marti Hearst’s Book on Search User Interfaces

Daniel Tunkelang
Daniel Tunkelang
5 Min Read
SHARE

Those of you who know Marti Hearst or follow her work may have heard that she’s been writing a book on Search User Interfaces to follow up on her chapter in Ricardo Baeza-Yates and Berthier Ribiero-Neto’s textbook on Modern Information Retrieval. Well, the wait is over: her book will be available later this week! Moreover, it will be available (and searchable!) for free online.

In the mean time, I’ve had a chance to preview the text, and I’m impressed. She introduces the book by saying:

Many books on information retrieval describe the algorithms behind search engines and information retrieval systems. By contrast, this book focuses on the human users of search systems and the tool they use to interact with them: the search  user interface. Because of their global reach, search user interfaces must be understandable by and appealing to a wide variety of people of all ages, cultures and backgrounds, and for an enormous variety of information needs.

She then proceeds to elaborate on the design and evaluation of search interfaces. Not surprisingly, she reserves whole chapters for query reformulation and for integrating navigation and search – she is, after all, one of the …

More Read

More problems for Googlemail
BPEL bopped again: A vision unfulfilled, or lack of vision?
Virtual Reality: A New Creative Medium Where the Default State Is Belief
Wolfram Talks About Wolfram Alpha
Making Government Information More Accessible

Those of you who know Marti Hearst or follow her work may have heard that she’s been writing a book on Search User Interfaces to follow up on her chapter in Ricardo Baeza-Yates and Berthier Ribiero-Neto’s textbook on Modern Information Retrieval. Well, the wait is over: her book will be available later this week! Moreover, it will be available (and searchable!) for free online.

In the mean time, I’ve had a chance to preview the text, and I’m impressed. She introduces the book by saying:

Many books on information retrieval describe the algorithms behind search engines and information retrieval systems. By contrast, this book focuses on the human users of search systems and the tool they use to interact with them: the search  user interface. Because of their global reach, search user interfaces must be understandable by and appealing to a wide variety of people of all ages, cultures and backgrounds, and for an enormous variety of information needs.

She then proceeds to elaborate on the design and evaluation of search interfaces. Not surprisingly, she reserves whole chapters for query reformulation and for integrating navigation and search – she is, after all, one of the pioneers of faceted search and one of the leading HCIR researchers. She also includes a chapter on theoretical models of the information seeking process – a nice review that includes the highlights from the decades of library and information science work on this topic.

Of course, the wide scope of the book requires some trade-offs. Each chapter is surely worthy of a book in its own right. But where breadth has to take precedence over depth, she makes up for it by citing hundreds of references so that readers can follow up to their hearts’ content. Also, the focus is academic, so most of the references are to academic rather than commercial work – though she does sneak in a reference to WebMD as an example of faceted search. That said, it’s great to see so much of the academic work on search interfaces brought together in one place. Some may find her thorough bibliography to be almost as useful as the book itself!

All in all, this is an excellent book, and I’m sure it will find its way into many course syllabi. The book is aimed primarily at academic audiences – in fact, she points out that, while there are some books for practicitioners (e.g., Peter Morville and Lou Rosenfeld’s Information Architecture for the World Wide Web), there have been no academic books that focus primarily on search user interfaces (the closest, in her view, have been books about theoretical models of information seeking behavior). Hopefully, this new book will incite more academic interest in this area. For those of us who would like to advance beyond the status quo of search interfaces, this book is a welcome contribution.

Link to original post

TAGGED:faceted searchinformation retrieval
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

street address database
Why Data-Driven Companies Rely on Accurate Street Address Databases
Big Data Exclusive
predictive analytics risk management
How Predictive Analytics Is Redefining Risk Management Across Industries
Analytics Exclusive Predictive Analytics
data analytics and gold trading
Data Analytics and the New Era of Gold Trading
Analytics Big Data Exclusive
student learning AI
Advanced Degrees Still Matter in an AI-Driven Job Market
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Why Does Google Hold Back On Faceted Search?

5 Min Read

Catching Up With Hunch

5 Min Read

Micro vs. Macro Information Retrieval

5 Min Read

Scale, Structure and Semantics

2 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?