Timeline for What machine learning algorithm should I use for specific user configuration?
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Aug 7, 2019 at 8:15 | vote | accept | Top Lit | ||
| Aug 7, 2019 at 8:14 | comment | added | Top Lit | This is brilliant help thank you. | |
| Aug 7, 2019 at 8:12 | comment | added | hssay | @TopLit Hard to give a general recommendation. But there are standard datasets like movielens grouplens.org/datasets/movielens/100k with ~1k user and movies. So that could be a baseline. Another thumb rule could be do you have atleast few hundred users which could be kept in validation set? Then recommendations approach could be used. | |
| Aug 7, 2019 at 7:23 | comment | added | Top Lit | This helps a lot actually thank you. What would you constitute as being "enough data" for the recommendations alternative. I was looking into this briefly but it seems like it could be a good way to go. | |
| Aug 7, 2019 at 7:14 | history | answered | hssay | CC BY-SA 4.0 |