The 2019 multimedia for recommender system task: Movierec and newsreel at mediaeval

Yashar Deldjoo, Benny Kille, Markus Schedl, Andreas Lommatzsch, Jialie Shen

Research output: Contribution to conferencePaperpeer-review

2 Citations (Scopus)

Abstract

The MediaEval 2019 Task “Multimedia for Recommender Systems” investigates the potential of leveraging multimedia content to enhance recommender systems. In this task, participants use a wealth of information from text, images, and audio to predict the success of items. Thereby, we advance the state-of-the-art of content-based recommender systems by leveraging multimedia content.

Original languageEnglish
Publication statusPublished - 2019
Event2019 Working Notes of the MediaEval Workshop, MediaEval 2019 - Sophia Antipolis, France
Duration: 27 Oct 201930 Oct 2019

Conference

Conference2019 Working Notes of the MediaEval Workshop, MediaEval 2019
Country/TerritoryFrance
CitySophia Antipolis
Period27/10/201930/10/2019

Bibliographical note

Publisher Copyright:
© 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Keywords

  • Audio
  • Content-based filtering
  • Feature engineering
  • Images
  • Movies
  • Multimedia
  • News
  • Recommender systems
  • Text
  • Video

ASJC Scopus subject areas

  • General Computer Science

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