A Factor Marginal Effect Analysis Approach and Its Application in E-Commerce Search System

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Pid</td><td class="align_center">Diagnostic analysis</td><td class="align_center">Guidance suggestion for a merchant</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">1</td><td class="align_center">Outputs do not reach the threshold</td><td class="align_center">Keep spending on marketing</td></tr><tr><td class="align_left">2</td><td class="align_center">New products do not reach the support threshold</td><td class="align_center">Continuous operation of new products</td></tr><tr><td class="align_left">3</td><td class="align_center">Flow performance is lower than the average</td><td class="align_center">Upgrade user average conversion rate</td></tr><tr><td class="align_left">4</td><td class="align_center">The commodity evaluation is lower than the average</td><td class="align_center">Carry out commodity optimization</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

International Journal of Intelligent Systems

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Table 1

Table 1: A Factor Marginal Effect Analysis Approach and Its Application in E-Commerce Search System 