BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//MOVING project - ECPv6.0.3.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:MOVING project
X-ORIGINAL-URL:https://moving-project.eu
X-WR-CALDESC:Events for MOVING project
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20180101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=UTC:20181007T080000
DTEND;TZID=UTC:20181007T170000
DTSTAMP:20260407T050049
CREATED:20190328T120744Z
LAST-MODIFIED:20190328T120744Z
UID:2163-1538899200-1538931600@moving-project.eu
SUMMARY:RecSys 2018
DESCRIPTION:The ACM Recommender Systems conference (RecSys) is the premier international forum for the presentation of new research results\, systems and techniques in the broad field of recommender systems. RecSys organised by Spotify\, the University of Massachusetts\, and Johannes Kepler University. The REcSys Challenge workshop focused on music recommendation\, specifically the challenge of automatic playlist continuation. \nIacopo Vagliano from ZBW presented the paper “Using Adversarial Autoencoders for Multi-Modal Automatic Playlist Continuation” at the RecSys Challenge Workshop 2018. The work by Iacopo Vagliano\, Lukas Galke\, Florian Mai and Ansgar Scherp shows that the technique used to suggest citations developed in the project can be also effective to automatically continue musical playlists.
URL:https://moving-project.eu/events/recsys-2018/
LOCATION:Vancouver\, Vancouver\, Canada
END:VEVENT
END:VCALENDAR