Big Data Week 2013 - Recommender Challenge

organisiert durch Torben Brodt

plista GmbH

Beginn: Mittwoch, 24.04.2013 um 16:00

Ende: Mittwoch, 24.04.2013 um 23:55

  • Tickets bestellen

    Dieses Event ist beendet. Es ist nicht mehr möglich eine Bestellung durchzuführen.Diese Veranstaltung nutzte XING Events für Online Eventregistrierung & Ticketing. Organisieren auch Sie Ihr Event effektiv und professionell.
    Jetzt testen

  • Recommender Challenge

     

    The challenge focuses on recommending news articles in real-time. Participants will have the chance to directly interact with our real-time recommender system. The challenge will last for the whole big data week, so you tweak your setup and improve performance levels. The winner will be promoted in the end of the week.
     
    All people interested in a real recommender system can join us for free pizza and beer. Lets hack on recommender problems and beat the other algorithm teams. We have prototypes for java, python and php and can provide virtual maschines close to our edge locations.
     
    The data you can use will include both user and item features along with interactions in between them. Interactions can be characterized as either clicks (a user clicked on a recommended article) or impressions (a user reads an article).
     
    Timetable
    4pm start
    5pm some presentations
    7pm pizza
    ...
    open end funThe challenge focuses on recommending news articles in real-time. Participants will have the chance to directly interact with our real-time recommender system. The challenge will last for the whole big data week, so you tweak your setup and improve performance levels. The winner will be promoted in the end of the week.
     
    All people interested in a real recommender system can join us for free pizza and beer. Lets hack on recommender problems and beat the other algorithm teams. We have prototypes for java, python and php and can provide virtual maschines close to our edge locations.
     
    The data you can use will include both user and item features along with interactions in between them. Interactions can be characterized as either clicks (a user clicked on a recommended article) or impressions (a user reads an article).
     
    Timetable
    4pm start
    5pm some presentations
    7pm pizza
    ...
    open end fun
  • Anfahrt

    Adresse des Veranstaltungsorts

    Torstr. 33 10119 Berlin Deutschland
  • Weitere Events

powered by amiando

Veranstalter dieses Events: Torben Brodt
Konferenz - Online Event Management mit der Ticketing-Lösung von XING Events

Impressum