Exploiting Spatial and Temporal for Point of Interest Recommendation

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/complexity/volume-2018/6928605/figures/6928605.fig.005a.svgz" name="6928605.fig.005a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Foursquare (pre@Num)</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/complexity/volume-2018/6928605/figures/6928605.fig.005b.svgz" name="6928605.fig.005b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Foursquare (rec@Num)</td></tr></table>

<div>Performance comparison on the Foursquare dataset.</div>

Complexity

fig5

Figure 5

Figure 5: Exploiting Spatial and Temporal for Point of Interest Recommendation 