You have the following three training datasets for a restaurant:
User features
Item features
Ratings of items by users
You must recommend restaurant to a particular user based only on the users features.
You need to use a Matchbox Recommender to make recommendations.
How many input parameters should you specify?
A.
1
B.
2
C.
3
D.
4
Explanation:
https://msdn.microsoft.com/en-us/library/azure/dn905987.aspx
Can somebody explain to me this question? Why is 2? I am totally lost.
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I presume it refers to INPUT to the module (not the hyperprameters..):
1) UserItemRating
2) User Date (2nd input)
I saw a lot of times the wording in MC is really not clear. But i guess no point asking how many hyper parameters which are too tedious..
1
0