There are 2 types of MLlib ALS recommenders last I checked, implicit and
explicit. Implicit ones you give any arbitrary score, like a 1 for purchase.
The explicit one you can input ratings and it is expected to predict ratings
for an individual. But both iirc also have a regularization parameter
That is, the predicted scores that the Recommender returns can not just be
multiplied by two, but may be completely wrong?
I can not, say, just divide the predictions by 2 and pretend that
everything is fine?
2017-12-18 21:35 GMT+03:00 Pat Ferrel :
> The UR and the Recommendations Template use ve
The UR and the Recommendations Template use very different technology
underneath.
In general the scores you get from recommenders are meaningless on their own.
When using ratings as numerical values with a ”Matrix Factorization”
recommender like the ones in MLlib, upon which the Recommendation
Does it seem to me or UR strongly differs from Recommender?
At least I can't find method getRatings in class DataSource, which contains
all events, in particular, "rate", that I needed.
2017-12-18 11:14 GMT+03:00 Noelia Osés Fernández :
> I didn't solve the problem :(
>
> Now I use the universal
But we were talking about the Recommender Engine Template, not the UR.
I believe the recommender engine template is supposed to predict ratings.
However, it doesn't seem to be doing so.
On 18 December 2017 at 09:20, Александр Лактионов
wrote:
> This score is not the same as in the input.
> UR c
This score is not the same as in the input.
UR calculates LLR between item pairs and leaves only pairs that pass
threshold.
This is stored in ES as documents with item as id and correlated items
tokens as text (item -> (item,item,...)).
UR makes a query to es with its own item list (for example, us
I didn't solve the problem :(
Now I use the universal recommender
On 18 December 2017 at 09:12, GMAIL wrote:
> And how did you solve this problem? Did you divide prediction score by 2?
>
> 2017-12-18 10:40 GMT+03:00 Noelia Osés Fernández :
>
>> I got the same problem. I still don't know the ans
And how did you solve this problem? Did you divide prediction score by 2?
2017-12-18 10:40 GMT+03:00 Noelia Osés Fernández :
> I got the same problem. I still don't know the answer to your question :(
>
> On 17 December 2017 at 14:07, GMAIL wrote:
>
>> I thought that there was a 5 point scale, b
