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From Serega Sheypak <serega.shey...@gmail.com>
Subject Re: recommenditembased returns 0 records from last map-reduce job
Date Tue, 22 Jul 2014 05:32:13 GMT
Ok, I have recompiled mahout 0.9 for CDH 4.7. I'll try this evening.
Right now I don't see how can it help me. As far as I know the stuff I try
to use is pretty old and stable.
looks like I do apply it in a wrong way.

There is an option for recommenditembased named "--threshold". I do provide
data for recommenditembased with preference values in range [1.1..2.0].
I set --threshold to 1.2
--threshold is absolute and can be from [1.1 . .2+] or it's relative and
can be [0.0 .. 0.99999]?


2014-07-22 3:54 GMT+04:00 Ted Dunning <ted.dunning@gmail.com>:

> That version is no longer supported.  You should upgrade to 0.9
>
>
>
>
> On Mon, Jul 21, 2014 at 11:41 AM, Serega Sheypak <serega.sheypak@gmail.com
> >
> wrote:
>
> > 0.7-cdh4.7.0
> > Anyway, recommenditembased does produce these catalogs:
> >
> > /recommenditembased/temp/maxValues.bin
> > /recommenditembased/temp/norms.bin
> > /recommenditembased/temp/numNonZeroEntries.bin
> > /recommenditembased/temp/pairwiseSimilarity
> > /recommenditembased/temp/partialMultiply
> > /recommenditembased/temp/prePartialMultiply1
> > /recommenditembased/temp/prePartialMultiply2
> > /recommenditembased/temp/preparePreferenceMatrix
> > /recommenditembased/temp/similarityMatrix
> > /recommenditembased/temp/weights
> >
> > I suppose that "/recommenditembased/temp/similarityMatrix" is the thing
> In
> > eed. Right now I try to read it using
> >
> > matrix = LOAD '/recommenditembased/temp/similarityMatrix' USING
> >  com.twitter.elephantbird.pig.load.SequenceFileLoader(
> >     '-c com.twitter.elephantbird.pig.util.IntWritableConverter',
> >     '-c com.twitter.elephantbird.pig.mahout.VectorWritableConverter'
> > )  as (intId: int, vector:tuple(cardinality:int,
> > entries:bag{t:tuple(some_id:long, some_value:double)}));
> >
> >
> > Looks like the vector is empty... Or i do something wrong.
> >
> >
> >
> > 2014-07-21 22:09 GMT+04:00 Ted Dunning <ted.dunning@gmail.com>:
> >
> > > Which version of Mahout?
> > >
> > >
> > > On Mon, Jul 21, 2014 at 11:05 AM, Serega Sheypak <
> > serega.sheypak@gmail.com
> > > >
> > > wrote:
> > >
> > > > Hi, I've tried: Unexpected --outputPathForSimilarityMatrix while
> > > processing
> > > > Job-Specific
> > > >
> > > > sudo -u hdfs hadoop fs -rm -r
> > > hdfs://nameservice1/recommenditembased/output
> > > > sudo -u hdfs hadoop fs -rm -r
> > hdfs://nameservice1/recommenditembased/temp
> > > > sudo -u oozie mahout recommenditembased \
> > > >                     --input \
> > > >
> > > >
> > > >
> > >
> >
> hdfs://nameservice1/user/hive/warehouse/staging_weighted_visits_and_rec_clicks
> > > > \
> > > >                     --output \
> > > >                     hdfs://nameservice1/recommenditembased/output \
> > > >                     --similarityClassname \
> > > >                     SIMILARITY_LOGLIKELIHOOD \
> > > >                    --numRecommendations \
> > > >                     500 \
> > > >                     --booleanData \
> > > >                     false \
> > > >                     --maxPrefsPerUser \
> > > >                     1000 \
> > > >                     --maxSimilaritiesPerItem \
> > > >                     1000 \
> > > >                     --minPrefsPerUser \
> > > >                     5 \
> > > >                     --maxPrefsPerUserInItemSimilarity \
> > > >                     30 \
> > > >                     --threshold \
> > > >                    1.1 \
> > > >                     --tempDir \
> > > >                     hdfs://nameservice1/recommenditembased/temp \
> > > >                     --outputPathForSimilarityMatrix \
> > > >                     hdfs://nameservice1/recommenditembased/sim_matrix
> > > >
> > > >
> > > > I'm on Cloudera cdh 4.7, looks like this feature is not supported.
> > > >
> > > >
> > > > 2014-07-21 11:18 GMT+04:00 Peng Zhang <pzhang.xjtu@gmail.com>:
> > > >
> > > > > Serega,
> > > > >
> > > > > See the last line on how to pass outputPathForSimilarityMatrix
> > options
> > > to
> > > > > the recommenditembased command:
> > > > >
> > > > > sudo -u oozie mahout recommenditembased \
> > > > >                    --input visited_items_with_inverted_items \
> > > > >
> > > > >                    --output result \
> > > > >                    --similarityClassname SIMILARITY_LOGLIKELIHOOD
\
> > > > >                    --usersFile inverted_items \
> > > > >                    --numRecommendations 500 \
> > > > >                    --booleanData false \
> > > > >                    --maxPrefsPerUser 100 \
> > > > >                    --maxSimilaritiesPerItem 500 \
> > > > >                    --minPrefsPerUser 0\
> > > > >                    --maxPrefsPerUserInItemSimilarity 30 \
> > > > >                    --threshold 0.91 \
> > > > >                    --tempDir  temp \
> > > > >                    --outputPathForSimilarityMatrix similarityMatri
> \
> > > > >
> > > > >
> > > > > Peng Zhang
> > > > > pzhang.xjtu@gmail.com
> > > > >
> > > > >
> > > > >
> > > > >
> > > > >
> > > > > On Jul 21, 2014, at 3:09 PM, Serega Sheypak <
> > serega.sheypak@gmail.com>
> > > > > wrote:
> > > > >
> > > > > > I've inspected the code, our approach wouldn't work with
> > > > > booleanData=false.
> > > > > > We do calcualte imte similarity in the wrong way...(((
> > > > > > Thank you
> > > > > > 1. We provide "fake" user_id and provide --usersFile in order
to
> > get
> > > > > > recommendations for "fake user_id, where user_id is a negative
> > > item_id.
> > > > > It
> > > > > > worked when we did provide user_id->item_id pairs without
> > preference.
> > > > > > 2. Our target is to get item similarities. We tried
> > > > > >
> org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob
> > > but
> > > > > it
> > > > > > returns bad result comparing to RecommenderJob with our "fake"
> > > user_id
> > > > > > (inverted item_id)
> > > > > >
> > > > > > 1. I'll try the option you provided.
> > > > > > 2. I will remove input with fake user_id and usersFile with
these
> > > fake
> > > > > ids
> > > > > >
> > > > > > 3.
> > > > > >
> > > > >
> > > >
> > >
> >
> https://github.com/apache/mahout/blob/master/mrlegacy/src/main/java/org/apache/mahout/cf/taste/hadoop/item/RecommenderJob.java
> > > > > > I don't understand how to pass ---outputPathForSimilarityMatrix
> > > option
> > > > to
> > > > > > RecommenderJob
> > > > > >
> > > > > >
> > > > > > 2014-07-21 4:58 GMT+04:00 Peng Zhang <pzhang.xjtu@gmail.com>:
> > > > > >
> > > > > >> Seraga,
> > > > > >>
> > > > > >> I have two comments:
> > > > > >> 1. Don’t use negative user ids. Since Mahout uses user
id as
> well
> > as
> > > > > item
> > > > > >> id as the row/column index, you’d better use 0, 1, 2,
etc as ids
> > > > > >> 2. If you want to get the item similarity information, you
can
> use
> > > > > >> --outputPathForSimilarityMatrix in the command
> > > > > >>
> > > > > >> Regards,
> > > > > >> Peng Zhang
> > > > > >> M: +86 186-1658-7856
> > > > > >> pzhang.xjtu@gmail.com
> > > > > >>
> > > > > >>
> > > > > >>
> > > > > >>
> > > > > >>
> > > > > >> On Jul 21, 2014, at 4:00 AM, Serega Sheypak <
> > > serega.sheypak@gmail.com
> > > > >
> > > > > >> wrote:
> > > > > >>
> > > > > >>> All bad things happen here:
> > > > > >>>
> > > > > >>>
> > > > > >>>
> > > > > >>> Name
> > > > > >>>
> > > > > >>> RecommenderJob-PartialMultiplyMapper-Reducer
> > > > > >>>
> > > > > >>> User
> > > > > >>>
> > > > > >>> oozie
> > > > > >>>
> > > > > >>> Process User
> > > > > >>>
> > > > > >>> oozie
> > > > > >>>
> > > > > >>> Group
> > > > > >>>
> > > > > >>> oozie
> > > > > >>>
> > > > > >>> Mapper Class
> > > > > >>>
> > > > > >>> PartialMultiplyMapper
> > > > > >>>
> > > > > >>> Reducer Class
> > > > > >>>
> > > > > >>> AggregateAndRecommendReducer
> > > > > >>>
> > > > > >>>
> > > > > >>> Job Input Directory
> > > > > >>>
> > > > > >>> hdfs://nameservice1/itemrec/temp/partialMultiply
> > > > > >>>
> > > > > >>> Job Output Directory
> > > > > >>>
> > > > > >>> hdfs://nameservice1/itemrec/output/
> > > > > >>>
> > > > > >>> 14/07/20 23:57:47 INFO mapred.JobClient:     Map input
> > > > records=3312879
> > > > > >>>
> > > > > >>> 14/07/20 23:57:47 INFO mapred.JobClient:     Map output
> > > > records=3313251
> > > > > >>>
> > > > > >>>
> > > > > >>> 14/07/20 23:57:47 INFO mapred.JobClient:     Reduce
input
> > > > > records=3313251
> > > > > >>>
> > > > > >>> 14/07/20 23:57:47 INFO mapred.JobClient:     Reduce
output
> > > records=0
> > > > > >>>
> > > > > >>> Why does mahout returns 0 rows? it works when booleanData=true
> > > > > >> (preferences
> > > > > >>> are ignored...?)
> > > > > >>>
> > > > > >>>
> > > > > >>>
> > > > > >>> 2014-07-20 23:19 GMT+04:00 Serega Sheypak <
> > > serega.sheypak@gmail.com
> > > > >:
> > > > > >>>
> > > > > >>>> the version is: CDH-4.7.0-1.cdh4.7.0.p0.40
> > > > > >>>> users_file:
> > > > > >>>> --inverted_item_id
> > > > > >>>> -1
> > > > > >>>> -2
> > > > > >>>> -3
> > > > > >>>> -4
> > > > > >>>>
> > > > > >>>> users_items_prefs
> > > > > >>>> --inverted item_id
> > > > > >>>> -1 1 1.0
> > > > > >>>> -2 2 1.0
> > > > > >>>> -3 3 1.0
> > > > > >>>> -4 4 1.0
> > > > > >>>> --user_id item_id pref_value
> > > > > >>>> 11   1 1.6
> > > > > >>>> 11   2 1.6
> > > > > >>>> 123 3 2.0
> > > > > >>>> 123 4 2.0
> > > > > >>>> 333 1 2.0
> > > > > >>>> 333 2 1.6
> > > > > >>>> --e.t.c.
> > > > > >>>>
> > > > > >>>> if I set --booleanData true
> > > > > >>>> then mahout returns the result.
> > > > > >>>>
> > > > > >>>>
> > > > > >>>>
> > > > > >>>>
> > > > > >>>> 2014-07-20 23:12 GMT+04:00 Andrew Musselman <
> > > > > andrew.musselman@gmail.com
> > > > > >>> :
> > > > > >>>>
> > > > > >>>> I'm confused about how you're constructing the user
file, and
> > why
> > > > > there
> > > > > >>>>> are negated item ids here.
> > > > > >>>>>
> > > > > >>>>> Can you post some more details please, including
Mahout
> version
> > > and
> > > > > >> some
> > > > > >>>>> sample data sets?
> > > > > >>>>>
> > > > > >>>>>> On Jul 20, 2014, at 11:57 AM, Serega Sheypak
<
> > > > > >> serega.sheypak@gmail.com>
> > > > > >>>>> wrote:
> > > > > >>>>>>
> > > > > >>>>>> Hi, I'm trying to create item similarity.
> > > > > >>>>>> I gather items which users visit during
shopping and then
> > > create a
> > > > > >> file:
> > > > > >>>>>> user_id, item_id, weight (where weight can
be: [1.0, 1.6,
> > 1.9],
> > > > > >> depends
> > > > > >>>>> on
> > > > > >>>>>> user action type and data source)
> > > > > >>>>>> UNION
> > > > > >>>>>> -item_id, item_id, 1.0 (from items dictionary)
> > > > > >>>>>>
> > > > > >>>>>> and I do provide a userFile, where user_id
= -item_id
> > > > > >>>>>>
> > > > > >>>>>> The idea is to get item similary. If any
user visits item
> > named
> > > > > "A", i
> > > > > >>>>> want
> > > > > >>>>>> to show him items "B", "c", "xxx" using
preferences of other
> > > > users.
> > > > > >>>>>>
> > > > > >>>>>> The problem is that the last (???) mapreduce
job returns 0
> > rows:
> > > > > >>>>>>
> > > > > >>>>>> Here are my settings:
> > > > > >>>>>>
> > > > > >>>>>>
> > > > > >>>>>> sudo -u oozie mahout recommenditembased
\
> > > > > >>>>>>                  --input visited_items_with_inverted_items
\
> > > > > >>>>>>
> > > > > >>>>>>                  --output result \
> > > > > >>>>>>                  --similarityClassname
> > SIMILARITY_LOGLIKELIHOOD
> > > \
> > > > > >>>>>>                  --usersFile inverted_items
\
> > > > > >>>>>>                  --numRecommendations 500
\
> > > > > >>>>>>                  --booleanData false \
> > > > > >>>>>>                  --maxPrefsPerUser 100 \
> > > > > >>>>>>                  --maxSimilaritiesPerItem
500 \
> > > > > >>>>>>                  --minPrefsPerUser 0\
> > > > > >>>>>>                  --maxPrefsPerUserInItemSimilarity
30 \
> > > > > >>>>>>                  --threshold 0.91 \
> > > > > >>>>>>                  --tempDir  temp \
> > > > > >>>>>>
> > > > > >>>>>> Some counters... I don't get what do they
mean....
> > > > > >>>>>>
> > > > > >>>>>> 14/07/20 22:43:08 INFO mapred.JobClient:
> > > > > >>>>>>
> > > > org.apache.mahout.cf.taste.hadoop.item.ToUserVectorsReducer$Counters
> > > > > >>>>>>
> > > > > >>>>>> 14/07/20 22:43:08 INFO mapred.JobClient:
    USERS=7528530
> > > > > >>>>>>
> > > > > >>>>>> 14/07/20 22:43:43 INFO mapred.JobClient:
> > > > > >>>>>>
> > > > > >>>>>
> > > > > >>
> > > > >
> > > >
> > >
> >
> org.apache.mahout.cf.taste.hadoop.preparation.ToItemVectorsMapper$Elements
> > > > > >>>>>>
> > > > > >>>>>> 14/07/20 22:43:43 INFO mapred.JobClient:
> > > > > >>>>>>  USER_RATINGS_NEGLECTED=1,798,738
> > > > > >>>>>>
> > > > > >>>>>> 14/07/20 22:43:43 INFO mapred.JobClient:
> > > > > >>>>> USER_RATINGS_USED=12,429,693
> > > > > >>>>>>
> > > > > >>>>>>
> > > > > >>>>>> 14/07/20 22:44:24 INFO mapred.JobClient:
> > > > > >>>>>>
> > > > > >>>>>
> > > > > >>
> > > > >
> > > >
> > >
> >
> org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob$Counters
> > > > > >>>>>>
> > > > > >>>>>> 14/07/20 22:44:24 INFO mapred.JobClient:
    ROWS=3312879
> > > > > >>>>>>
> > > > > >>>>>> 14/07/20 22:45:18 INFO mapred.JobClient:
> > > > > >>>>>>
> > > > > >>>>>
> > > > > >>
> > > > >
> > > >
> > >
> >
> org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob$Counters
> > > > > >>>>>>
> > > > > >>>>>> 14/07/20 22:45:18 INFO mapred.JobClient:
> > > > COOCCURRENCES=35882374
> > > > > >>>>>>
> > > > > >>>>>> 14/07/20 22:45:18 INFO mapred.JobClient:
> > > > PRUNED_COOCCURRENCES=0
> > > > > >>>>>>
> > > > > >>>>>> 14/07/20 22:46:00 INFO mapred.JobClient:
    Map input
> > > > > records=3312879
> > > > > >>>>>>
> > > > > >>>>>> 14/07/20 22:46:00 INFO mapred.JobClient:
    Map output
> > > > > >> records=17570268
> > > > > >>>>>>
> > > > > >>>>>> 14/07/20 22:46:00 INFO mapred.JobClient:
    Reduce input
> > > > > >>>>> records=5221907
> > > > > >>>>>>
> > > > > >>>>>> 14/07/20 22:46:00 INFO mapred.JobClient:
    Reduce output
> > > > > >>>>> records=3312879
> > > > > >>>>>>
> > > > > >>>>>>
> > > > > >>>>>> 14/07/20 22:46:34 INFO mapred.JobClient:
    Reduce input
> > > > > >>>>> records=3312879
> > > > > >>>>>>
> > > > > >>>>>> 14/07/20 22:46:34 INFO mapred.JobClient:
    Reduce output
> > > > > >>>>> records=3312879
> > > > > >>>>>>
> > > > > >>>>>> 14/07/20 22:46:34 INFO mapred.JobClient:
    Reduce input
> > > > > >>>>> records=3312879
> > > > > >>>>>>
> > > > > >>>>>> 14/07/20 22:46:34 INFO mapred.JobClient:
    Reduce output
> > > > > >>>>> records=3312879
> > > > > >>>>>>
> > > > > >>>>>> 14/07/20 22:47:06 INFO mapred.JobClient:
    Map input
> > > > > records=7528530
> > > > > >>>>>>
> > > > > >>>>>> 14/07/20 22:47:06 INFO mapred.JobClient:
    Map output
> > > > > >> records=3313251
> > > > > >>>>>>
> > > > > >>>>>> 14/07/20 22:47:06 INFO mapred.JobClient:
    Reduce input
> > > > > >>>>> records=3313251
> > > > > >>>>>>
> > > > > >>>>>> 14/07/20 22:47:06 INFO mapred.JobClient:
    Reduce output
> > > > > >>>>> records=3313251
> > > > > >>>>>>
> > > > > >>>>>> 14/07/20 22:47:40 INFO mapred.JobClient:
    Map input
> > > > > records=6626130
> > > > > >>>>>>
> > > > > >>>>>> 14/07/20 22:47:40 INFO mapred.JobClient:
    Map output
> > > > > >> records=6626130
> > > > > >>>>>>
> > > > > >>>>>> 14/07/20 22:47:40 INFO mapred.JobClient:
    Reduce input
> > > > > >>>>> records=6626130
> > > > > >>>>>>
> > > > > >>>>>> 14/07/20 22:47:40 INFO mapred.JobClient:
    Reduce output
> > > > > >>>>> records=3312879
> > > > > >>>>>>
> > > > > >>>>>>
> > > > > >>>>>> 14/07/20 22:48:26 INFO mapred.JobClient:
    Map input
> > > > > records=3312879
> > > > > >>>>>>
> > > > > >>>>>> 14/07/20 22:48:26 INFO mapred.JobClient:
    Map output
> > > > > >> records=3313251
> > > > > >>>>>>
> > > > > >>>>>> 14/07/20 22:48:26 INFO mapred.JobClient:
    Reduce input
> > > > > >>>>> records=3313251
> > > > > >>>>>>
> > > > > >>>>>> --------
> > > > > >>>>>> 14/07/20 22:48:26 INFO mapred.JobClient:
    Reduce output
> > > > records=0
> > > > > >>>>>> --------
> > > > > >>>>>>
> > > > > >>>>>> why 0???
> > > > > >>>>>
> > > > > >>>>
> > > > > >>>>
> > > > > >>
> > > > > >>
> > > > >
> > > > >
> > > >
> > >
> >
>

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