search

liaoandi / MACS30200proj

Directory for MACS 30200 Computational Research
0 stars 1 forks source link

Review- Jie Heng #5

Open jheng18 opened 6 years ago

jheng18 commented 6 years ago

Your work is impressive. I really like the research question and I am wondering if Zhihu uses the similar approach to recommend experts to users. The poster clearly shows how your project designs and your result. The title conveys the main research question clearly. The font is large and your overall format is simple but pleasing. There are no distracting images. Your conclusion is concise. I especially like the summary tables, which communicate your data in a straightforward way. Here are some thoughts:

  1. Figure 1 is quite small. I have to zoom in to see the plots. Maybe you could adjust the size of those pictures. Plots could help audiences get your main idea and results much easier than texts.
  2. I think data and introduction part take too much place. Some of them, like literary review part in the introduction could save for questions. If audience have any questions about how you come up with your research methods, you could explain them.
  3. Do you think is appropriate to use LaTeX table for table two? I want to see the p value of each variables and F squares. The table you currently used is not eye-catching and carries little information.
liaoandi commented 6 years ago

Thanks for the review! It is really helpful. I spend a lot of space on introduction and data as random forest classifier is not the most popular model in this area, and I would like to establish a strong background why I choose it. And for the table part, it is a piece of nice suggestion but the p value and F squares are not applicable in this setting.