A Neural Network-Inspired Approach for Improved and True Movie Recommendations

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Popularity score</td><td class="align_center">Medal rank</td><td class="align_center">Status</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">0.8–1.0</td><td class="align_center">Platinum</td><td class="align_center">Highly Popular</td></tr><tr><td class="align_left">0.6–0.79</td><td class="align_center">Gold</td><td class="align_center">Popular</td></tr><tr><td class="align_left">0.4–0.59</td><td class="align_center">Silver</td><td class="align_center">Average Popular</td></tr><tr><td class="align_left">0.2–0.39</td><td class="align_center">Bronze</td><td class="align_center">Unpopular</td></tr><tr><td class="align_left">0.0–0.19</td><td class="align_center">Copper</td><td class="align_center">Highly Unpopular</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Popularity scores and their respective medals and popularity status.</div>

Computational Intelligence and Neuroscience

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Table 3

Table 3: A Neural Network-Inspired Approach for Improved and True Movie Recommendations 