Building Web Reputation Systems (1ST)

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Building Web Reputation Systems (1ST)

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 316 p.
  • 言語 ENG,ENG
  • 商品コード 9780596159795
  • DDC分類 006.7

Full Description


What do Amazon's product reviews, eBay's feedback score system, Slashdot's Kharma System, and Xbox Live's Achievements have in common? They're all examples of successful reputation systems that enable consumer websites to effectively manage and present user contributions. With this book, you'll learn how a reputation system can enhance your business, and what it takes to design and develop your own. If you're building, operating, or participating in a website or online application, you'll discover why these underlying mechanisms are critical for any organization that plans to include user-generated content on a website. Learn how to scale your reputation system to handle an overwhelming inflow of user contributions. Become familiar with different models that help you encourage first-class contributions. Quickly determine the quality of contributions, and learn why some are more useful than others. Discover tricks of moderation, including how to stamp out the worst contributions in a quick and efficient way. Learn to engage contributors and reward them in ways that get them to return again and again.

Table of Contents

Preface                                            ix
Part I. Reputation Defined and Illustrated
Reputation Systems Are Everywhere 3 (18)
An Opinionated Conversation 3 (1)
People Have Reputations, but So Do Things 4 (1)
Reputation Takes Place Within a Context 4 (1)
We Use Reputation to Make Better Decisions 5 (1)
The Reputation Statement 6 (1)
Explicit: Talk the Talk 6 (1)
Implicit: Walk the Walk 6 (1)
The Minimum Reputation Statement 6 (1)
Reputation Systems Bring Structure to 7 (1)
Chaos
Reputation Systems Deeply Affect Our Lives 8 (4)
Local Reputation: It Takes a Village 8 (1)
Global Reputation: Collective 9 (1)
Intelligence
FICO: A Study in Global Reputation and 10 (2)
Its Challenges
Web FICO? 12 (1)
Reputation on the Web 12 (9)
Attention Doesn't Scale 13 (1)
There's a Whole Lotta Crap Out There 13 (2)
People Are Good. Basically 15 (2)
The Reputation Virtuous Circle 17 (1)
Who's Using Reputation Systems? 18 (1)
Challenges in Building Reputation 19 (1)
Systems
Related Subjects 20 (1)
Conceptualizing Reputation Systems 20 (1)
A (Graphical) Grammar for Reputation 21 (18)
The Reputation Statement and Its 22 (4)
Components
Reputation Sources: Who or What Is 23 (1)
Making a Claim?
Reputation Claims: What Is the Target's 24 (1)
Value to the Source? On What Scale?
Reputation Targets: What (or Who) Is 25 (1)
the Focus of a Claim?
Molecules: Constructing Reputation Models 26 (4)
Using Messages and Processes
Messages and Processes 26 (2)
Reputation Model Explained: Vote to 28 (1)
Promote
Building on the Simplest Model 29 (1)
Complex Behavior: Containers and 30 (3)
Reputation Statements As Targets
Solutions: Mixing Models to Make Systems 33 (6)
From Reputation Grammar to 35 (4)
Part II. Extended Elements and Applied
Examples
Building Blocks and Reputation Tips 39 (28)
Extending the Grammar: Building Blocks 39 (18)
The Data: Claim Types 39 (7)
Processes: Computing Reputation 46 (8)
Routers: Messages, Decisions, and 54 (3)
Termination
Practitioner's Tips: Reputation Is Tricky 57 (8)
The Power and Costs of Normalization 57 (1)
Liquidity: You Won't Get Enough Input 58 (2)
Bias, Freshness, and Decay 60 (4)
Implementer's Notes 64 (1)
Making Buildings from Blocks 65 (2)
Common Reputation Models 67 (30)
Simple Models 67 (7)
Favorites and Flags 68 (1)
This-or-That Voting 69 (1)
Ratings 70 (1)
Reviews 70 (1)
Points 71 (1)
Karma 72 (2)
Combining the Simple Models 74 (15)
User Reviews with Karma 75 (3)
eBay Seller Feedback Karma 78 (4)
Flickr Interestingness Scores for 82 (7)
Content Quality
When and Why Simple Models Fail 89 (5)
Party Crashers 89 (2)
Keep Your Barn Door Closed (but Expect 91 (3)
Peeking)
Reputation from Theory to Practice 94 (3)
Part III. Building Web Reputation Systems
Planning Your System's Design 97 (28)
Asking the Right Questions 97 (26)
What Are Your Goals? 98 (4)
Content Control Patterns 102(9)
Incentives for User Participation, 111(10)
Quality, and Moderation
Consider Your Community 121(2)
Better Questions 123(2)
Objects, Inputs, Scope, and Mechanism 125(40)
The Objects in Your System 125(6)
Architect, Understand Thyself 126(3)
What Makes for a Good Reputable Entity? 129(2)
Determining Inputs 131(15)
User Actions Make Good Inputs 131(3)
But Other Types of Inputs Are 134(1)
Important, Too
Good Inputs 135(1)
Common Explicit Inputs 136(7)
Common Implicit Inputs 143(3)
Constraining Scope 146(4)
Context Is King 146(2)
Limit Scope: The Rule of Email 148(1)
Applying Scope to Yahoo! EuroSport 149(1)
Message Board Reputation
Generating Reputation: Selecting the 150(11)
Right Mechanisms
The Heart of the Machine: Reputation 151(1)
Does Not Stand Alone
Common Reputation Generation Mechanisms 151(10)
and Patterns
Practitioner's Tips: Negative Public Karma 161(2)
Draw Your Diagram 163(2)
Displaying Reputation 165(32)
How to Use a Reputation: Three Questions 165(1)
Who Will See a Reputation? 166(6)
To Show or Not to Show? 166(3)
Personal Reputations: For the Owner's 169(2)
Eyes Only
Personal and Public Reputations Combined 171(1)
Public Reputations: Widely Visible 171(1)
Corporate Reputations Are Internal Use 172(1)
Only: Keep Them Hush-hush
How Will You Use Reputation to Modify 172(3)
Your Site's Output?
Reputation Filtering 173(1)
Reputation Ranking and Sorting 173(1)
Reputation Decisions 174(1)
Content Reputation Is Very Different from 175(3)
Karma
Content Reputation 176(1)
Karma 176(2)
Reputation Display Formats 178(2)
Reputation Display Patterns 180(12)
Normalized Score to Percentage 180(2)
Points and Accumulators 182(1)
Statistical Evidence 183(2)
Levels 185(4)
Ranked Lists 189(3)
Practitioner's Tips 192(3)
Leaderboards Considered Harmful 192(3)
Going Beyond Displaying Reputation 195(2)
Using Reputation: The Good, The Bad, and 197(26)
the Ugly
Up with the Good
Rank-Order Items in Lists and Search 199(1)
Results
Content Showcases 200(4)
Down with the Bad 204(3)
Configurable Quality Thresholds 205(1)
Expressing Dissatisfaction 206(1)
Out with the Ugly 207(2)
Reporting Abuse 207(2)
Teach Your Users How to Fish 209(5)
Inferred Reputation for Content 210(2)
Submissions
A Private Conversation 212(1)
Course-Correcting Feedback 213(1)
Reputation Is Identity 214(7)
On the User Profile 216(3)
At the Point of Attribution 219(1)
To Differentiate Within Listings 220(1)
Putting It All Together 221(2)
Application Integration, Testing, and Tuning 223(20)
Integrating with Your Application 223(4)
Implementing Your Reputation Model 223(2)
Rigging Inputs 225(1)
Applied Outputs 225(1)
Beware Feedback Loops! 226(1)
Plan for Change 226(1)
Testing Your System 227(5)
Bench Testing Reputation Models 228(1)
Environmental (Alpha) Testing 229(1)
Reputation Models
Predeployment (Beta) Testing Reputation 230(2)
Models
Tuning Your System 232(9)
Tuning for ROI: Metrics 232(4)
Tuning for Behavior 236(5)
Tuning for the Future 241(1)
Learning by Example 241(2)
Case Study: Yahoo! Answers Community 243(36)
Content Moderation
What Is Yahoo! Answers? 243(6)
A Marketplace for Questions and Yahoo! 244(1)
Answers
Attack of the Trolls 245(3)
Built with Reputation 248(1)
Avengers Assemble! 248(1)
Initial Project Planning 249(3)
Setting Goals 249(1)
Who Controls the Content? 250(1)
Incentives 250(1)
The High-Level Project Model 251(1)
Objects, Inputs, Scope, and Mechanism 252(16)
The Objects 252(2)
Limiting Scope 254(1)
An Evolving Model 255(13)
Displaying Reputation 268(1)
Who Will See the Reputation? 268(1)
How Will the Reputation Be Used to 268(1)
Modify Your Site's Output?
Is This Reputation for a Content Item 268(1)
or a Person?
Using Reputation: The...Ugly 269(1)
Application Integration, Testing, and 270(3)
Tuning
Application Integration 270(1)
Testing Is Harder Than You Think 270(1)
Lessons in Tuning: Users Protecting 271(2)
Their Power
Deployment and Results 273(1)
Operational and Community Adjustments 274(2)
Adieu 276(3)
The Reputation Framework 279(24)
Related Resources 303(4)
Index 307