《Streaming Predictions of User Behavior in Real-Time Presentation》.pdfVIP

Streaming Predictions of User Behavior in Real- Time Ethan Dereszynski (Webtrends) Eric Butler (Cedexis) OSCON 2014 How come you never see a headline like Psychic Wins Lottery? Jay Leno Enabling Interesting Predictions: Leverage Streaming Data Streams Data websockets Streams Data 1 second websockets Streams The best way to predict the future is to invent it. Alan Kay Session Data §  Each user “click” triggers a event §  Event information captured by embedded tag Session Data §  A session is a string of events that all correspond to a single “visit” to a web site. Event 1 Event 2 Session Data §  A session end when a visitor leaves the site, closes the browser, or goes idle for 30 minutes Event 1 Event 2 Event 3 Learning from Streaming Data §  Sessions provide examples of visit behavior §  Not all sessions are equally likely -  Many paths are rarely, if ever, taken -  Frequent paths suggest common ways visitors behave on a given site §  Learning Models of Visitor Behavior -  Predict future actions -  Provides a rich, new feature to identify/segment users -  Identify users who have a common trajectory, or subtrajectory, through the web site -  More than just a label -  Behavior tells us something about how users achieve a goal on a web site Event Data §  JSON containing parameter/value pairs §  Describes content of page