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    <responseDate>2026-10-14T14:27:43Z</responseDate>
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    <identifier>10.57760/sciencedb.38559</identifier>
    <datestamp>2026-06-16T09:23:14Z</datestamp>
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  <dc:date>2026-06-16</dc:date>
  <dc:title>BroadCastRec</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.38559</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>We have built and released a large-scale real-world dataset, BroadCastRec, specifically designed for the field of broadcasting and television recommendations. This dataset is sourced from 12 months of user viewing records of IPTV in a province of China. After data cleaning and anonymization, it ultimately contains over 360000 users, 44000 programs, and 113 million user program interaction records. The BroadCastRec dataset provides timestamps, user payment rating information, and rich program metadata, accurately characterizing the data characteristics of broadcast and television scenes.&amp;nbsp;</dc:description>
  <dc:subject>television ; recommendations;  large-scale </dc:subject>
  <dc:creator>chen zhe</dc:creator>
  <dc:creator>Gong Yuanjia</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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