Rough-Set-Based Real-Time Interest Label Extraction over Large-Scale Social Networks

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Extract user interest label base on different subgraph stream</td><td class="align_center">RS3 (sort by overlap)</td><td class="align_center">RS3 (sort by random)</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">MRR</td><td class="align_center"><b>0.842</b></td><td class="align_center">0.723</td></tr><tr><td class="align_left">Precision@3</td><td class="align_center"><b>0.756</b></td><td class="align_center">0.643</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Comparison of user interest label extraction effects under different subgraph stream construction strategies on SubGraphData.</div>

Complexity

tab4

Table 4

Table 4: Rough-Set-Based Real-Time Interest Label Extraction over Large-Scale Social Networks 