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I have a very different machine learning problem. Or atleast I am facing such problem for 1st time. It would be really great if u can guide me to solve it.

I have 3 data sets as follow:

hotel star_rating
1 3
2 2

user home_continent gender
1 2 female
2 3 female
3 1 male

user hotel
1 39
1 44
2 63

I need to find which hotel a user will visit next. To me it does not look like normal classification or regression problem. Total 66 hotel and 4400 users Can you please guide me.
Thanks

Neo
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  • For each user you predict for each hotel the probability that that's the hotel the user picks next. Looks like a regression problem to me. – cel Jan 20 '17 at 08:00
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    This is not a programming question and should be asked at http://stats.stackexchange.com – Sentry Jan 20 '17 at 08:03
  • I am facing a similar challenge on a similar problem. Could you let me know if you were able to solve it and finally what method did you use to solve it Thank you – shasvat desai Jul 22 '18 at 09:32

1 Answers1

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It is a ranking problem (which, in many cases can be solved applying classification techniques).

Have a look to the documentation from this Kaggle competition. It essentially poses the same kind of problem you are trying to solve.

carrdelling
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