Word of Mouse : The Marketing Power of Collaborative Filtering

by Riedl, John; Konstan, Joseph; Vrooman, Eric

• ISBN13: 9780446530033
• ISBN10: 0446530034
• Format: Hardcover
• Copyright: 2002-08-23
• Publisher: Grand Central Pub

Summary

You're surfing the Web and discover a site that seems to have been waiting just for you. It knows your likes and dislikes, the last book you bought, and maybe even the kind of coat you'll be shopping for this winter. Want to bring this incredible technology to your own business? This is the book that shows you how. Technology has given consumers the ability to compare prices and products anywhere in the world -- and it's given marketers something even more powerful. A new tool called collaborative filtering is making it easy for companies to find their ideal customers and track their detailed buying habits by automatically turning customer data into specific recommendations across the entire spectrum of the Web -- and beyond. John Riedl and Joseph Konstan helped invent the software that gave rise to this marketing dream. Now in WORD OF MOUSE they show how dozens of businesses best use -- and sometimes fail to use -- this technology and the many opportunities it creates. From companies who treat their buyers royally as soon as they "walk through the door" to those who found a niche by trading consumer data, this book shows how to apply the timeless principles of customer service...as your company takes full advantage of "word of mouse." Book jacket.

Author Biography

John Ridel and Joseph A. Konstan are the co-founders of Net Perceptions Eric Vrooman is a freelance editor and writer living in Minneapolis. He teaches creative writing at Gustavus Adolphus College

Table of Contents

Foreword	vii
Introduction	xv
The Insider's Guide to Collaborative Filtering and Recommender Systems	1	(18)
Demonstrate Product Expertise	19	(30)
Be a Customer Agent	49	(24)
Maintain Excellent Service Across Touchpoints	73	(36)
Box Products, Not People	109	(28)
Watch What I Do	137	(20)
Revolutionize Knowledge Management	157	(22)
Use Communities to Create Content	179	(24)
Turn Communities into Content	203	(20)
The Future of Collaborative Filtering and Recommender Systems	223	(12)
Afterword	235	(4)
Acknowledgments	239	(6)
Index	245