Too Long; Didn't Read
Data Scientists across Skyscanner have started meeting every fortnight to discuss research papers that tackle similar problems to those that we face within Skyscanner. The <a href="http://www.kdd.org/exploration_files/V14-02-05-Amatriain.pdf" target="_blank">2nd paper</a> we read was: “Mining Large Streams of User Data for Personalized Recommendations” (hi Xavier!). Just like <a href="https://medium.com/@neal_lathia/reading-solving-the-continuous-cold-start-problem-3e03dc20ddcd#.els1esar0" target="_blank">the last post</a>, we’re we’re also writing up a brief, non-technical overview the problems/opportunities we discussed.