) ) and certainly the Mahout In Action book would be a great place to
learn as well.
Happy clustering!
-Original Message-
From: N! [mailto:12481...@qq.com]
Sent: Friday, February 14, 2014 2:33 AM
To: user
Subject: Re: get similar items
Thank you SebastianMartinScott.
I checked
'https
@mahout.apache.orguser@mahout.apache.org;
Subject: Re: get similar items
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 nimar...@pssd.com wrote:
Yeah, since it would appear you're lacking
.
-- Original --
From: Scott C. Cote;scottcc...@gmail.com;
Date: Wed, Feb 12, 2014 11:47 PM
To: user@mahout.apache.orguser@mahout.apache.org;
Subject: Re: get similar items
Since you are relying on unguided data - switch from
recommenders/classifier to clustering.
Anyone else
Hi Sean, you said It depends what ItemSimilarity you are using.
what kind of ItemSimilarity can work correctly without preference?
thanks.
--
View this message in context:
http://lucene.472066.n3.nabble.com/get-similar-items-tp1568765p4116843.html
Sent from the Mahout User List mailing list
://lucene.472066.n3.nabble.com/get-similar-items-tp1568765p4116843.html
Sent from the Mahout User List mailing list archive at Nabble.com.
Listuser@mahout.apache.org;
: Re: get similar items
Try LogLikelihoodSimilarity.
On Wed, Feb 12, 2014 at 9:06 AM, 12481...@qq.com 12481...@qq.com wrote:
Hi Sean, you said It depends what ItemSimilarity you are using.
what kind of ItemSimilarity can work correctly without preference
Hi all:
Does anyone have any suggestions for the questions below?
thanks a lot.
-- Original --
Sender: N!12481...@qq.com;
Send time: Wednesday, Feb 12, 2014 6:17 PM
To: useruser@mahout.apache.org;
Subject: Re: get similar items
Hi Sean
.
-- Original --
Sender: N!12481...@qq.com;
Send time: Wednesday, Feb 12, 2014 6:17 PM
To: useruser@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
@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
support something
like this with your dataset.
-Original Message-
From: Sebastian Schelter [mailto:ssc.o...@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
GenericItemBasedRecommender.mostSimilarItems() need item preference data,if
there is no preference data at start,Is there some way to get similar items.
I integrated the recommendation engine to store,but at start there is no
enough preference data,but we need to show recommendations for users,so
clarify what
you're doing.
On Sun, Sep 26, 2010 at 7:26 AM, Sam Yang yangua...@gmail.com wrote:
GenericItemBasedRecommender.mostSimilarItems() need item preference
data,if
there is no preference data at start,Is there some way to get similar
items.
I integrated the recommendation engine
GenericItemBasedRecommender.mostSimilarItems() does not care. It just
uses your ItemSimilarity to do its work.
You'd have to be more specific to get more feedback. Are you sure your
ItemSimilarity is working, not returning NaN?
On Sun, Sep 26, 2010 at 2:40 PM, Sam Yang yangua...@gmail.com wrote:
But I got this when no preference data:
==
java.lang.IllegalArgumentException: size is less than 1
at org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray.init(
GenericItemPreferenceArray.java:49)
at org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray.init(
And it's like this issue: https://issues.apache.org/jira/browse/MAHOUT-367
On Mon, Sep 27, 2010 at 10:36 AM, Sam Yang yangua...@gmail.com wrote:
But I got this when no preference data:
==
java.lang.IllegalArgumentException: size is less than 1
at
All:
Can I get similar items of one item? I know ItemSimilarity is used to
compute the similarity between items,but seems can't get similar items of
one item.
Best Regards.
--
I'm samsam.
Yes, try GenericItemBasedRecommender.mostSimilarItems()
On Thu, Sep 23, 2010 at 4:43 PM, Sam Yang yangua...@gmail.com wrote:
All:
Can I get similar items of one item? I know ItemSimilarity is used to
compute the similarity between items,but seems can't get similar items of
one item.
Best
17 matches
Mail list logo
