New Collaborative Filtering Algorithms Based on SVD++ and Differential Privacy

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/mpe/volume-2017/1975719/figures/1975719.fig.003a.svgz" name="1975719.fig.003a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>MovieLens-1M</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/mpe/volume-2017/1975719/figures/1975719.fig.003b.svgz" name="1975719.fig.003b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Netflix-1M</td></tr></table>

<div>Comparison of our algorithms with the correlative algorithm of [<a href="/journals/mpe/2017/1975719/#B18">9</a>].</div>

Mathematical Problems in Engineering

fig3

Figure 3

Figure 3: New Collaborative Filtering Algorithms Based on SVD++ and Differential Privacy 