Recommender Hackathon @plista 2013/04
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Recommender Hackathon @plista 2013/04

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Recommender Hackathon @plista 2013/04 Presentation Transcript

  • 1. The Recommender Challenge Hackathon Torben Brodt plista GmbH 2013/04/24
  • 2. What is plista ● recommendation ● advertising ● network ● many big publishers in DE, AT, CH, .. ● "other articles you might be interested.." ● >8 billion impressions, clicks, engages, .. pM
  • 3. Architecture
  • 4. Architecture
  • 5. Tracking Success ● each time a recommender is chosen, plista will track its success.. for context and context combinations ???
  • 6. Tracking Success ● "online evaluation" technology ● better than classical offline evaluation known from papers? ● cooperation with TU Berlin, aided by state ???
  • 7. The hackathon ● we open the data, you provide the knowledge ● develop a recommender which implements the http + json api ● plista will track the success, if you are smart, be the winner for the the best recommender ● best is live, best is scalable and best will work in industry
  • 8. The hackathon ● many interesting people ● get to know developers using ○ PHP, Java, NodeJS, Python ○ Redis, Storm, Elastic Search ○ Apache Mahout, Lucene ○ ...
  • 9. The hackathon ● http://contest.plista.com/bigdataweek2013 ○ 4pm start ○ 6pm "hello world!" ○ 7pm pizza + mate ○ ... open end fun
  • 10. How to start (1/3) register at contest.plista.com select challenge * bdw13 * weekly
  • 11. How to start (2/3) ● start implementation using examples ● http://contest.plista.com/wiki/example
  • 12. How to start (2/3) ● start implementation using examples ● http://contest.plista.com/wiki/example ● have a github account? ● "fork" one of the example projects ● work on your local "clone" ● upload to your server ● enter url in your contest account
  • 13. How to start (3/3) ● need a virtual server? ask us ● need old data? start replay from webinterface ● try sending debug events from webinterface ● wait for team activation ● plista starts sending you real data ● your responses are displayed on real publishers
  • 14. Recommender ideas ● concentrate on implicit feedback ● think streaming / incremental ○ better to scale ○ faster results, new articles are better than old articles? ● think about cross domain ○ contest is not allowed to mix items from different domains/publishers ○ want knowledge of the full data, but candidate items of a slice
  • 15. Summary join us? http://www.plista.com/career stay in touch? Torben Brodt, plista.com, google plus, twitter, ..
  • 16. Discounts 30% discount code: PLISTA30 ● NoSQL Infrastructure ● Killing pigs and saving Danish bacon with Riak ● Introduction to Graph Databases ● Yokozuna, combining Solr with Riak ● Why you should care about Big Data ● ... And Lottery... ● 1 FREE TICKET And more Torben ● Talk about Realtime Recommendations
  • 17. Hint ● now watch out for teammates and have fun!