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 <[email protected]>
wrote:

> 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, user history).
> After that es considers it as a document with your query items (its text
> content) and finds nearest neighbors from texts distance (tf-idf).
> the resulting score is just texts similarity from es
>
> On Dec 18, 2017 11:14 AM, "Noelia Osés Fernández" <[email protected]>
> wrote:
>
>> I didn't solve the problem :(
>>
>> Now I use the universal recommender
>>
>> On 18 December 2017 at 09:12, GMAIL <[email protected]> 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 <[email protected]>:
>>>
>>>> I got the same problem. I still don't know the answer to your question
>>>> :(
>>>>
>>>> On 17 December 2017 at 14:07, GMAIL <[email protected]> wrote:
>>>>
>>>>> I thought that there was a 5 point scale, but if so, why do I get
>>>>> predictions of 7, 8, etc.?
>>>>>
>>>>> P.S. Sorry for my English.
>>>>>
>>>>> 2017-12-17 16:05 GMT+03:00 GMAIL <[email protected]>:
>>>>>
>>>>>> Hi.
>>>>>> I train with Recommendation Engine Template.
>>>>>> I use data from sample_movielens_data.txt and there all score less
>>>>>> than 5, but I get prediction with score more than 5.
>>>>>> What it meaning?
>>>>>>
>>>>>
>>>>>
>>>>
>>>>
>>>> --
>>>> <http://www.vicomtech.org>
>>>>
>>>> Noelia Osés Fernández, PhD
>>>> Senior Researcher |
>>>> Investigadora Senior
>>>>
>>>> [email protected]
>>>> +[34] 943 30 92 30
>>>> Data Intelligence for Energy and
>>>> Industrial Processes | Inteligencia
>>>> de Datos para Energía y Procesos
>>>> Industriales
>>>>
>>>> <https://www.linkedin.com/company/vicomtech>
>>>> <https://www.youtube.com/user/VICOMTech>
>>>> <https://twitter.com/@Vicomtech_IK4>
>>>>
>>>> member of:  <http://www.graphicsmedia.net/>     <http://www.ik4.es>
>>>>
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>>>
>>>
>>
>>
>> --
>> <http://www.vicomtech.org>
>>
>> Noelia Osés Fernández, PhD
>> Senior Researcher |
>> Investigadora Senior
>>
>> [email protected]
>> +[34] 943 30 92 30
>> Data Intelligence for Energy and
>> Industrial Processes | Inteligencia
>> de Datos para Energía y Procesos
>> Industriales
>>
>> <https://www.linkedin.com/company/vicomtech>
>> <https://www.youtube.com/user/VICOMTech>
>> <https://twitter.com/@Vicomtech_IK4>
>>
>> member of:  <http://www.graphicsmedia.net/>     <http://www.ik4.es>
>>
>> Legal Notice - Privacy policy
>> <http://www.vicomtech.org/en/proteccion-datos>
>>
>


-- 
<http://www.vicomtech.org>

Noelia Osés Fernández, PhD
Senior Researcher |
Investigadora Senior

[email protected]
+[34] 943 30 92 30
Data Intelligence for Energy and
Industrial Processes | Inteligencia
de Datos para Energía y Procesos
Industriales

<https://www.linkedin.com/company/vicomtech>
<https://www.youtube.com/user/VICOMTech>
<https://twitter.com/@Vicomtech_IK4>

member of:  <http://www.graphicsmedia.net/>     <http://www.ik4.es>

Legal Notice - Privacy policy <http://www.vicomtech.org/en/proteccion-datos>

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