unb-lamfo-nlp-mcti
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NLP-Recommendation-MCTI

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Jmilagres commited on Dec 16, 2022

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@@ -189,7 +189,7 @@ class Data:
         pbar.close()
         self.df = pd.DataFrame(df, columns = ['userID', 'itemID', 'rating'])
-### Limitations and bias
 In this model we have faced some obstacles that we had overcome, but some of those, by the nature of the project, couldn't be totally solved.
 Due the fact that our dataset was build it by ourselves, there was no interaction yet between a user and the dataset, therefore we don't have
 realistic ratings which made us have to generate a simulation, making the results less believable.

         pbar.close()
         self.df = pd.DataFrame(df, columns = ['userID', 'itemID', 'rating'])
+###Limitations and bias
 In this model we have faced some obstacles that we had overcome, but some of those, by the nature of the project, couldn't be totally solved.
 Due the fact that our dataset was build it by ourselves, there was no interaction yet between a user and the dataset, therefore we don't have
 realistic ratings which made us have to generate a simulation, making the results less believable.