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    <identifier>10.11922/sciencedb.j00104.00048</identifier>
    <datestamp>2020-10-16T16:43:07Z</datestamp>
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  <dc:date>2020-10-16</dc:date>
  <dc:title>Constructing a Scene-Based Knowledge System for E-Commerce Industries: Business Analysis and Challenges</dc:title>
  <dc:identifier>doi:10.11922/sciencedb.j00104.00048</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Online marketers make efforts to sell more products to their customers to increase turnover. One way to sell more products is to ensure that products belonging to the same scene are offered together. As such, it is beneficial to categorize products into different groups and tag them to particular, defined scenes. The mechanism of building relationships between products and scenes is called &amp;ldquo;scene-based knowledge system&#13;
construction&amp;rdquo;. The construction of a scene-based knowledge system is usually based on business operators&amp;rsquo; expert knowledge and past experiences, which often causes product categorization to be inaccurate. Hence, in this paper, we discuss the importance and necessity of constructing a scene-based knowledge system, analyze it from a business perspective, and discuss its challenges.Figure 1 shows a motivating example.</dc:description>
  <dc:subject>E-Commerce business;  Scene-Based;  Knowledge system;  Product categorization;  Business goals;  Business challenges</dc:subject>
  <dc:creator>Min Fu</dc:creator>
  <dc:creator> Qiang Chen</dc:creator>
  <dc:creator>Wei Lin</dc:creator>
  <dc:creator>Pei Wang</dc:creator>
  <dc:creator>Wei Zhang</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
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  <dc:publisher>Science Data Bank</dc:publisher>
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