A Study on Multiattribute Aggregation Approaches to Product Recommendation

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td align="left"> </td><td align="center">Average satisfaction</td><td align="center">Variance</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td align="left">ESS</td><td align="center">0.8051</td><td align="center">13.8355</td></tr><tr><td align="left">COM</td><td align="center">0.7867</td><td align="center">25.1769</td></tr><tr><td align="left">AND</td><td align="center">0.7153</td><td align="center">30.9358</td></tr><tr><td align="left">OR</td><td align="center">0.7738</td><td align="center">27.1458</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Comparison of different ranking methods (<a href="https://static.hindawi.com/articles/afs/volume-2013/806749/figures/#EEq2">3</a>).

Advances in Fuzzy Systems

tab5

Table 5

Table 5: A Study on Multiattribute Aggregation Approaches to Product Recommendation 