Investigating the Temporal Effect of User Preferences with Application in Movie Recommendation

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static-preview.hindawi.com/articles/misy/volume-2017/8940709/figures/8940709.fig.002a.svgz" name="8940709.fig.002a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>MovieLens</td></tr><tr class="fig-image" id="b"><td><object data="https://static-preview.hindawi.com/articles/misy/volume-2017/8940709/figures/8940709.fig.002b.svgz" name="8940709.fig.002b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Netflix</td></tr><tr class="fig-image" id="c"><td><object data="https://static-preview.hindawi.com/articles/misy/volume-2017/8940709/figures/8940709.fig.002c.svgz" name="8940709.fig.002c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>MovieTweetings</td></tr></table>

<div>The temporal influence of user’s positive and negative opinions for MovieLens, Netflix, and MovieTweetings. The black one and red one represent user’s positive and negative opinions, respectively.</div>

Mobile Information Systems

fig2

Figure 2

Figure 2: Investigating the Temporal Effect of User Preferences with Application in Movie Recommendation 