Darren Vengroff to detail RichRelevance’s new open source project designed to spur innovation in retail personalization at top recommender conference of the year
This week, Greg Linden noticed a conference paper that reveals that YouTube is using Amazon.com‘s recommendation engine to power its own recommendations. Last week, Fast Company ran an article about how a former Amazon.com engineer is trying to help discover a better recommendation engine than his former employer. And we rediscovered a tutorial from way back in December of 2010 on how to get your hands dirty building your own recommendation system using NumPy.
David “Selly” Selinger is CEO of RichRelevance, an e-Commerce personalization technology company.
AdExchanger.com: Why do you call RichRelevance “the intersection of e-Commerce and Madison Avenue”?
DS: Large retail sites represent the last frontier for ultra-premium ad inventory that brand advertisers have historically not had access to. RichRelevance is empowering our enterprise-class retailer customers including Target and Overstock.com to create incremental streams of revenue by providing premium advertisers access to engaged consumers on shopping media (relevant retail sites) closest to the point of purchase.
RichRelevance, a provider of e-commerce personalization for retail, today introduced RecLab, a new open-source project designed to spur innovation in retail personalization. RecLab enables academics, researchers and developers to dynamically test and validate their recommendation algorithms in a live e-commerce environment. Traditionally, researchers have had to work with isolated data sets in order to protect sensitive consumer data.
New open-source project offers researchers the ability to test and validate personalization algorithms in a live shopping environment for the first time in e-commerce history
RecLab by RichRelevance will connect researchers, developers and academics with the goal of creating better recommendation algorithms for online retailers.
A former engineer at Amazon has come up with a way to speed up the process of finding better math to produce suggestions of things you actually might want to buy.
Former Procter & Gamble, Glam Media and PepsiCo executives bring extensive experience in digital brand advertising and online media innovation to help guide a new era of Shopping Media