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From "Scott C. Cote" <scottcc...@gmail.com>
Subject Re: get similar items
Date Wed, 12 Feb 2014 15:47:24 GMT
Since you are relying on unguided data - switch from
recommenders/classifier to clustering.

Anyone else agree with me on this???

SCott

On 2/12/14 9:04 AM, "Martin, Nick" <NiMartin@pssd.com> wrote:

>Yeah, since it would appear you're lacking requisite data for
>recommenders the only other thing I can think of in this case is
>potentially treating the movie records as documents and clustering them
>(via whatever might be in the 'description' field).
>
>Have a look here 
>https://cwiki.apache.org/confluence/display/MAHOUT/Quick+tour+of+text+anal
>ysis+using+the+Mahout+command+line and see if you can support something
>like this with your dataset.
>
>-----Original Message-----
>From: Sebastian Schelter [mailto:ssc.open@googlemail.com]
>Sent: Wednesday, February 12, 2014 6:28 AM
>To: user@mahout.apache.org
>Subject: Re: get similar items
>
>Hi,
>
>Mahout's recommenders are based on analyzing interactions between users
>and items/movies, e.g. ratings or counts how often the movie was watched.
>
>
>On 02/12/2014 11:34 AM, N! wrote:
>> Hi all:
>>   Does anyone have any suggestions for the questions below?
>>
>>
>>   thanks a lot.
>>
>>
>> ------------------ Original ------------------
>> Sender: "N!"<12481228@qq.com>;
>> Send time: Wednesday, Feb 12, 2014 6:17 PM
>> To: "user"<user@mahout.apache.org>;
>>
>> Subject: Re: get similar items
>>
>>
>>
>> Hi Sean:
>>              Thanks for the reply.
>>              Assume I have only one table named 'movie' with 1000+
>>records, this table have three
>>columns:'id','movieName','movieDescription'.
>>              Can Mahout calculate the most similar movies for a
>>movie.(based on only the 'movie' table)?
>>              code like: List mostSimilarMovieList =
>>recommender.mostSimilar(int movieId).
>>              if not, do you have any suggestions for this scenario?
>>
>



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