You May Also Be Interested in: Implementing User Recommendations in Rails
Location: Ballroom II Level: Novice
The social trend in the industry has shifted users’ expectations to highly personalized experiences, presenting them with only personally relevant information. This presentation should arm you with the skills to make your system more intelligent and the arsenal of designs and tools to do it with.
To introduce the basics we will discuss how to implement very familiar recommendations like LinkedIn’s degrees of separation, Facebook’s friend suggestions & smart news feeds, and Amazon’s product recommendations. Also personal experiences from real world rails projects will be shared to better understand issues with performance, scale and limitations to certain tools. At the end of 45 minutes you will walk away with the ability to implement personalized recommendations in your app by understanding:
- How to discover relationships in your data
- Effectively model these relationships to infer personalized recommendations
- Successful patterns for incorporate these recommendations in your rails application
Matthew has been focusing on end-to-end software development and delivery for nearly a decade. He is in constant pursuit of simple innovative solutions to complex problems. He has also been an avid practitioner of agile and lean methodologies for the last 6 years after honing his skills while working for ThoughtWorks in the US and Australia. As an active member of the open source community, he has contributed to several projects as well as frequently speaks at conferences and user groups.
Comments on this page are now closed.