Timeline for Are there any examples other than anomaly detection where unsupervised deep learning could be useful?
Current License: CC BY-SA 4.0
6 events
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| Feb 3, 2020 at 8:18 | comment | added | Akavall | @Yes, this is right. Also, depending on your business logic, you probably don't want to recommend items that a user has already rated, so you can only consider rating predictions for items that the user hasn't ranked, but this is details. | |
| Feb 3, 2020 at 7:11 | comment | added | Sushodhan | Correct me if I am wrong. So we will train the model by optimizing on user ratings. Then the new objects would be used to predict the ratings with the trained model, and the objects with higher ratings will be recommended to the user. Is my understanding correct? | |
| Feb 3, 2020 at 5:52 | comment | added | Akavall | @Sushodhan, I am not sure that I understand your question, but rereading my answer, I realized that I was referring to ratings that user gives as "recommendations", which I am sure made it confusing. I have fixed that. Now "recommendations" only refers to the scores outputted by the model. Does that answer your question? | |
| Feb 3, 2020 at 5:46 | history | edited | Akavall | CC BY-SA 4.0 |
added 12 characters in body
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| Feb 3, 2020 at 4:01 | comment | added | Sushodhan | Do you mean that it can be used to filter the recommendations among many recommendations for certain users by using this approach? | |
| Feb 2, 2020 at 14:07 | history | answered | Akavall | CC BY-SA 4.0 |