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Predictions, Preferences, and Personalization: Recommendation Engines Grow Up

Event Interactive 2011
Format Solo
Organizer Erin Richey – Flat Frog Design
Description Today, variations of the same AI technology used for tracking and identifying terrorist cells online and for diagnosing cancer are also at work offering up music, suggesting movies, and up-selling products. Sites like Pandora, Netflix, and Amazon have been building core offerings around recommendation engine technology for several years, but similar algorithms are now becoming more commonly used all across the web. Companies are flocking to recommendation technology to offer a more customized, personally-tailored experience. Widespread adoption of personalized recommendation technology might even become a threat to search engine usage. However, could an uncanny valley be emerging in personalization technology, causing consumers to feel uneasy about just how accurate and “real” predictions are? I’ll talk about how to make personalized recommendations better, why it pays to add a little human psychology to your algorithm, and what it took to win the Netflix prize. You'll learn how search engines are incorporating personalization technology and what you can do with the recently released Google Prediction API. I’ll also cover how this technology is currently used in advertising, ecommerce, and social media, and which applications will be adopting personal recommendation engines in the near future.
Questions
Answered
  1. What are personalized recommendation engines and how do the algorithms work?
  2. Is there an opensource and easily accessible alternative to the propriatery algorithms used by the likes of Netflix and Amazon?
  3. Can personalized recommendations ever get too personal?
  4. Do recommendation engines pose a growing threat to search engines?
  5. How are personalized recommendation algorithms being used today and where will we see them in the future?
Level Beginner
Category Collaborative Filtering
Tags artificial intelligence, emerging technology, marketing
HELP