Dataset Open Access

Movies on flights dataset

Michael Riegler

MARC21 XML Export

<?xml version='1.0' encoding='UTF-8'?>
<record xmlns="">
  <datafield tag="041" ind1=" " ind2=" ">
    <subfield code="a">eng</subfield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">multimedia</subfield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">recommender systems</subfield>
  <controlfield tag="005">20200124192510.0</controlfield>
  <controlfield tag="001">1118338</controlfield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">165129118</subfield>
    <subfield code="z">md5:3f36cf837046a53be2fef72cd9af0909</subfield>
    <subfield code="u"></subfield>
  <datafield tag="542" ind1=" " ind2=" ">
    <subfield code="l">open</subfield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="c">2017-12-19</subfield>
  <datafield tag="909" ind1="C" ind2="O">
    <subfield code="p">openaire_data</subfield>
    <subfield code="o"></subfield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="u">Simula Research Laboratory</subfield>
    <subfield code="a">Michael Riegler</subfield>
  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">Movies on flights dataset</subfield>
  <datafield tag="540" ind1=" " ind2=" ">
    <subfield code="u"></subfield>
    <subfield code="a">Creative Commons Attribution 4.0 International</subfield>
  <datafield tag="650" ind1="1" ind2="7">
    <subfield code="a">cc-by</subfield>
    <subfield code="2"></subfield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">&lt;p&gt;The provided dataset includes movie titles and links, that allows to gather online metadata and trailers. We do not provide the video files because of copyright restrictions. Examples are collected based on movie lists from a major international airline, i.e., KLM Royal Dutch Airlines. The final list of movies is a merged set of movies collected between February and April 2015. The video dataset contains both positive and negative samples, carefully sampled in order to create fair and representative positive and negative class. The data is also split into a trainingset and a testset. In order to collect user judgments, we used an existing system that has been built for the purpose of collecting user feedback of this sort.&lt;/p&gt;</subfield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="n">doi</subfield>
    <subfield code="i">isVersionOf</subfield>
    <subfield code="a">10.5281/zenodo.1118337</subfield>
  <datafield tag="024" ind1=" " ind2=" ">
    <subfield code="a">10.5281/zenodo.1118338</subfield>
    <subfield code="2">doi</subfield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">dataset</subfield>
All versions This version
Views 514516
Downloads 3333
Data volume 5.4 GB5.4 GB
Unique views 458460
Unique downloads 2525


Cite as