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