Leveraging Multiactions to Improve Medical Personalized Ranking for Collaborative Filtering

<div class="floats-full-page floats-full-page-figure"><h2>Figure 2</h2><div class="floats-full-page-caption"><div>Performance comparison of BPR, MBPR-1, and MBPR-2 on two real-world datasets.</div></div><div class="floats-full-page-content"><table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static-01.hindawi.com/articles/jhe/volume-2017/5967302/figures/5967302.fig.002a.svgz" name="5967302.fig.002a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Topmd-A</td></tr><tr class="fig-image" id="b"><td><object data="https://static-01.hindawi.com/articles/jhe/volume-2017/5967302/figures/5967302.fig.002b.svgz" name="5967302.fig.002b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Sobazaar-P</td></tr></table></div></div>

Figure 2 | Leveraging Multiactions to Improve Medical Personalized Ranking for Collaborative Filtering

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Figure 2: Leveraging Multiactions to Improve Medical Personalized Ranking for Collaborative Filtering

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Figure 2

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<p><em>Journal of Healthcare Engineering </em>provides a vehicle for the exchange of advanced knowledge, emerging technologies, and innovative ideas related to all aspects of engineering involved in healthcare delivery processes and systems.</p>


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<p>Chief Editor, Professor Zollo, has research expertise in euro-robotics and biomedical technologies for neuroscience, rehabilitation and assistance robotics, and robotic and mechatronic devices for personal assistance and service robotics.</p>


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