One of the most powerful features of Amazon.com’s service is the recommendations it gives to customers who are looking for books and other products they purchase. Having all sorts of options such as being able to see great photos of products and knowing that shipping is free is nice, but being able to know what other purchased can do the most in helping you decide what product is best for you.
RichRelevance.com, a San Francisco-based firm headed by the man who refined Amazon’s product recommendation system, is moving to make your shopping experience even more personal, while not compromising your privacy. The goal is admittedly commercial; the firm wants to help online marketers sell more products. At the same time, they hope to make your shopping experience a bit more life-like.
Multiple e-mail service providers have announced new partnership deals this week.
First, Responsys announced today it has struck a deal with richrelevance—a company that offers personalized recommendation technology to online marketers—to integrate richmail into Responsys’ Interact marketing platform.
InformationWeek’s John Foley speaks with David Selinger, the CEO and Co-Founder of Richrelevance. Richrelevance is a SF based startup that makes a next generation recommendation engine. Selinger goes on to explain that Richrelevance differentiates itself from other recommendation engines by incorporating feedback from users to better enhance their list of recommendations.
To go shopping these days, more Americans are trading in their car keys for a keyboard.
Online shopping is gaining at a time when simply filling up a gas tank to head to the mall can seem like a spending spree.
In 2002, I wrote an academic paper called “GAAPP: A Generic Adaptive Architecture for Profiling and Personalization.” In it, I described a personalization platform that used multiple technologies to solve any number of problems in the personalization space. Today, I’ll talk a little about that architecture and emerging companies that are taking similar approaches.