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From Sebastian Schelter <...@apache.org>
Subject Re: Mahout recommendation in implicit feedback situation
Date Sat, 03 May 2014 14:42:08 GMT
You should try the

org.apache.mahout.cf.taste.impl.recommender.GenericBooleanPrefUserBasedRecommender

which has been built to handle such data.

Best,
Sebastian


On 05/03/2014 04:34 PM, Alessandro Suglia wrote:
> I have described it in the SO's post:
> "When I execute this code, the result is a list of 0.0 or 1.0 which are
> not useful in the context of top-n recommendation in implicit feedback
> context. Simply because I have to obtain, for each item, an estimated
> rate which stays in the range [0, 1] in order to rank the list in
> decreasing order and construct the top-n recommendation appropriately."
> On 05/03/14 16:25, Sebastian Schelter wrote:
>> Hi Allessandro,
>>
>> what result do you expect and what do you get? Can you give a concrete
>> example?
>>
>> --sebastian
>>
>> On 05/03/2014 12:11 PM, Alessandro Suglia wrote:
>>> Good morning,
>>> I've tried to create a recommender system using Mahout in an implicit
>>> feedback situation. What I'm trying to do is explained exactlly in this
>>> post on stack overflow:
>>> http://stackoverflow.com/questions/23077735/mahout-recommendation-in-implicit-feedback-situation.
>>>
>>> <http://stackoverflow.com/questions/23077735/mahout-recommendation-in-implicit-feedback-situation>
>>>
>>>
>>> As you can see, I'm having some problem with it simply because I cannot
>>> get the result that I expect (a value between 0 and 1) when I try to
>>> predict a score for a specific item.
>>>
>>> Someone here can help me, please?
>>>
>>> Thank you in advance.
>>>
>>> Alessandro Suglia
>>>
>>
>


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