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From "Dyer, James" <James.D...@ingramcontent.com>
Subject RE: Solr-recommender for Mahout 0.9
Date Thu, 07 Nov 2013 14:11:42 GMT
Pat,

Can you give us the query it generates when you enter "vampire werewolf zombie", q/qt/defType
?

My guess is you're using the default query parser with "q.op=AND" , or, you're using dismax/edismax
with a high "mm" (min-must-match) value.

James Dyer
Ingram Content Group
(615) 213-4311


-----Original Message-----
From: Pat Ferrel [mailto:pat.ferrel@gmail.com] 
Sent: Wednesday, November 06, 2013 5:53 PM
To: ssc@apache.org Schelter; user@mahout.apache.org
Subject: Re: Solr-recommender for Mahout 0.9

Done,

BTW I have the thing running on a demo site but am getting very poor results that I think
are related to the Solr setup. I'd appreciate any ideas.

The sample data has 27,000 items and something like 4000 users. The preference data is fairly
dense since the users are professional reviewers and the items videos.

1) The number of item-item similarities that are kept is 100. Is this a good starting point?
Ted, do you recall how many you used before?
2) The query is a simple text query made of space delimited video id strings. These are the
same ids as are stored in the item-item similarity docs that Solr indexes.

Hit thumbs up on one video you you get several recommendations. Hit thumbs up on several videos
you get no recs. I'm either using the wrong query type or have it set up to be too restrictive.
As I read through the docs if someone has a suggestion or pointer I'd appreciate it. 

BTW the same sort of thing happens with Title search. Search for "vampire werewolf zombie"
you get no results, search for "zombie" you get several.

On Nov 6, 2013, at 2:18 PM, Sebastian Schelter <ssc@apache.org> wrote:

Hi Pat,

can you create issues for 1) and 2) ? Then I will try to get this into
trunk asap.

Best,
Sebastian

On 06.11.2013 19:13, Pat Ferrel wrote:
> Trying to integrate the Solr-recoemmender with the latest Mahout snapshot. The project
uses a modified RecommenderJob because it needs SequenceFile output and to get the location
of the preparePreferenceMatrix directory. If #1 and #2 are addressed I can remove the modified
Mahout code from the project and rely on the default implementations in Mahout 0.9. #3 is
a longer term issue related to the creation of a CrossRowSimilarityJob. 
> 
> I have dropped the modified code from the Solr-recommender project and have a modified
build of the current Mahout 0.9 snapshot. If the following changes are made to Mahout I can
test and release a Mahout 0.9 version of the Solr-recommender.
> 
> 1. Option to change RecommenderJob output format
> 
> Can someone add an option to output a SequenceFile. I modified the code to do the following,
note the SequenceFileOutputFormat.class as the last parameter but this should really be determined
with an option I think.
> 
>      Job aggregateAndRecommend = prepareJob(
>              new Path(aggregateAndRecommendInput), outputPath, SequenceFileInputFormat.class,
>              PartialMultiplyMapper.class, VarLongWritable.class, PrefAndSimilarityColumnWritable.class,
>              AggregateAndRecommendReducer.class, VarLongWritable.class, RecommendedItemsWritable.class,
>              SequenceFileOutputFormat.class);
> 
> 2. Visibility of preparePreferenceMatrix directory location
> 
> The Solr-recommender needs to find where the RecommenderJob is putting it's output. 
> 
> Mahout 0.8 RecommenderJob code was:
>    public static final String DEFAULT_PREPARE_DIR = "preparePreferenceMatrix";
> 
> Mahout 0.9 RecommenderJob code just puts "preparePreferenceMatrix" inline in the code:
>    Path prepPath = getTempPath("preparePreferenceMatrix");
> 
> This change to Mahout 0.9 works:
>    public static final String DEFAULT_PREPARE_DIR = "preparePreferenceMatrix";
> and
>    Path prepPath = getTempPath(DEFAULT_PREPARE_DIR);
> 
> You could also make this a getter method on the RecommenderJob Class instead of using
a public constant.
> 
> 3. Downsampling
> 
> The downsampling for maximum prefs per user has been moved from PreparePreferenceMatrixJob
to RowSimilarityJob. The XRecommenderJob uses matrix math instead of RSJ so it will no longer
support downsampling until there is a hypothetical CrossRowSimilairtyJob with downsampling
in it.
> 
> 





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