Building Web Reputation Systems
Publisher: O'Reilly Media / Yahoo Press
Final Release Date: March 2010
Pages: 336

What do Amazon's product reviews, eBay's feedback score system, Slashdot's Karma System, and Xbox Live's Achievements have in common? They're all examples of successful reputation systems that enable consumer websites to manage and present user contributions most effectively. This book shows you how to design and develop reputation systems for your own sites or web applications, written by experts who have designed web communities for Yahoo! and other prominent sites.

Building Web Reputation Systems helps you ask the hard questions about these underlying mechanisms, and why they're critical for any organization that draws from or depends on user-generated content. It's a must-have for system architects, product managers, community support staff, and UI designers.

  • Scale your reputation system to handle an overwhelming inflow of user contributions
  • Determine the quality of contributions, and learn why some are more useful than others
  • Become familiar with different models that encourage first-class contributions
  • Discover tricks of moderation and how to stamp out the worst contributions quickly and efficiently
  • Engage contributors and reward them in a way that gets them to return
  • Examine a case study based on actual reputation deployments at industry-leading social sites, including Yahoo!, Flickr, and eBay

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O'Reilly MediaBuilding Web Reputation Systems
 
5.0

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5.0

Excellent introduction to algorithms

By ueberhund

from Salt Lake City, UT

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Pros

  • Accurate
  • Concise
  • Easy to understand

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    Best Uses

    • Intermediate

    Comments about O'Reilly Media Building Web Reputation Systems:

    This is a really interesting book about allowing users to provide feedback/ratings on your content or services, including common algorithms for calculating those ratings, the value of each user's ratings, and how to manage this information. I found this very enlightening, as many of the ideas discussed in this book hadn't initially occurred to me.

    Perhaps the most useful material, in my opinion, was the discussion around different reputation models. Included in the discussion were the models used by eBay, Yahoo!, Slashdot, and others. Also very valuable were the algorithms for tabulating ratings and reputation so that performance is not impacted.

    I found the information in this book invaluable in building online rating systems. If you're working on such a project, I'd highly recommend checking out this book.

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