How to implement a trending recommender in mahout
I am using mahout core to implement several recommender functions. Among others, I want to implement a "trending products" recommendation function.
Usually I would use something like Z-score, but I want to stick to things mahout provides and I could not find anything in the libabries.
Does anybody know, how to implement a trending function using mahout?
EDIT: What I try to accomplish:
I want to implement a general purpose recommender engine, that should offer a) recommendations based on the the user history and b) recommendations about currently trending products. therefore products that got more clicks in the last N days then usual.
This question is only targeting b)
apache machine-learning mahout trending
asked Nov 12 at 8:52
Quick n Dirty
3491515
add a comment |
I am using mahout core to implement several recommender functions. Among others, I want to implement a "trending products" recommendation function.
Usually I would use something like Z-score, but I want to stick to things mahout provides and I could not find anything in the libabries.
Does anybody know, how to implement a trending function using mahout?
EDIT: What I try to accomplish:
I want to implement a general purpose recommender engine, that should offer a) recommendations based on the the user history and b) recommendations about currently trending products. therefore products that got more clicks in the last N days then usual.
This question is only targeting b)
apache machine-learning mahout trending
asked Nov 12 at 8:52
Quick n Dirty
3491515
add a comment |
I am using mahout core to implement several recommender functions. Among others, I want to implement a "trending products" recommendation function.
Usually I would use something like Z-score, but I want to stick to things mahout provides and I could not find anything in the libabries.
Does anybody know, how to implement a trending function using mahout?
EDIT: What I try to accomplish:
I want to implement a general purpose recommender engine, that should offer a) recommendations based on the the user history and b) recommendations about currently trending products. therefore products that got more clicks in the last N days then usual.
This question is only targeting b)
apache machine-learning mahout trending
asked Nov 12 at 8:52
Quick n Dirty
3491515
I am using mahout core to implement several recommender functions. Among others, I want to implement a "trending products" recommendation function.
Usually I would use something like Z-score, but I want to stick to things mahout provides and I could not find anything in the libabries.
Does anybody know, how to implement a trending function using mahout?
EDIT: What I try to accomplish:
I want to implement a general purpose recommender engine, that should offer a) recommendations based on the the user history and b) recommendations about currently trending products. therefore products that got more clicks in the last N days then usual.
This question is only targeting b)
apache machine-learning mahout trending
apache machine-learning mahout trending
asked Nov 12 at 8:52
Quick n Dirty
3491515
asked Nov 12 at 8:52
Quick n Dirty
3491515
edited Nov 16 at 10:36
asked Nov 12 at 8:52
Quick n Dirty
3491515
asked Nov 12 at 8:52
Quick n Dirty
3491515
asked Nov 12 at 8:52
Quick n Dirty
3491515
3491515
add a comment |
add a comment |
1 Answer
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Not sure exactly what you're trying to do, but you might consider looking at http://commons.apache.org/proper/commons-math/javadocs/api-3.5/org/apache/commons/math3/distribution/NormalDistribution.html
The distributions in org.apache.commons.math are pretty good and that's why we didn't recreate them.
UPDATE OK, you're getting off into some math theory and should probably ask this on stats.stackexchange.com or something like it as it is relative to statistics, not the programming implementation. What you're talking about is a sort of Delta recommender. You could bootleg it by using the Mahout CCO reccomender and having a seperate "feature" (or matrix) of items and "clicks in the last 7 days". There are multiple ways to skin this cat though, for more info on how to implement in Mahout please join the dev or user mailing lists, as there will be some active community discussion on the best method to pursue.
https://mahout.apache.org/general/mailing-lists,-irc-and-archives.html
answered Nov 12 at 18:48
rawkintrevo
458310
thank you for your reply! I tried to add more info about what I try to accomplish
– Quick n Dirty
Nov 14 at 11:56
add a comment |
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1 Answer
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Not sure exactly what you're trying to do, but you might consider looking at http://commons.apache.org/proper/commons-math/javadocs/api-3.5/org/apache/commons/math3/distribution/NormalDistribution.html
The distributions in org.apache.commons.math are pretty good and that's why we didn't recreate them.
UPDATE OK, you're getting off into some math theory and should probably ask this on stats.stackexchange.com or something like it as it is relative to statistics, not the programming implementation. What you're talking about is a sort of Delta recommender. You could bootleg it by using the Mahout CCO reccomender and having a seperate "feature" (or matrix) of items and "clicks in the last 7 days". There are multiple ways to skin this cat though, for more info on how to implement in Mahout please join the dev or user mailing lists, as there will be some active community discussion on the best method to pursue.
https://mahout.apache.org/general/mailing-lists,-irc-and-archives.html
answered Nov 12 at 18:48
rawkintrevo
458310
thank you for your reply! I tried to add more info about what I try to accomplish
– Quick n Dirty
Nov 14 at 11:56
add a comment |
Not sure exactly what you're trying to do, but you might consider looking at http://commons.apache.org/proper/commons-math/javadocs/api-3.5/org/apache/commons/math3/distribution/NormalDistribution.html
The distributions in org.apache.commons.math are pretty good and that's why we didn't recreate them.
UPDATE OK, you're getting off into some math theory and should probably ask this on stats.stackexchange.com or something like it as it is relative to statistics, not the programming implementation. What you're talking about is a sort of Delta recommender. You could bootleg it by using the Mahout CCO reccomender and having a seperate "feature" (or matrix) of items and "clicks in the last 7 days". There are multiple ways to skin this cat though, for more info on how to implement in Mahout please join the dev or user mailing lists, as there will be some active community discussion on the best method to pursue.
https://mahout.apache.org/general/mailing-lists,-irc-and-archives.html
answered Nov 12 at 18:48
rawkintrevo
458310
thank you for your reply! I tried to add more info about what I try to accomplish
– Quick n Dirty
Nov 14 at 11:56
add a comment |
Not sure exactly what you're trying to do, but you might consider looking at http://commons.apache.org/proper/commons-math/javadocs/api-3.5/org/apache/commons/math3/distribution/NormalDistribution.html
The distributions in org.apache.commons.math are pretty good and that's why we didn't recreate them.
UPDATE OK, you're getting off into some math theory and should probably ask this on stats.stackexchange.com or something like it as it is relative to statistics, not the programming implementation. What you're talking about is a sort of Delta recommender. You could bootleg it by using the Mahout CCO reccomender and having a seperate "feature" (or matrix) of items and "clicks in the last 7 days". There are multiple ways to skin this cat though, for more info on how to implement in Mahout please join the dev or user mailing lists, as there will be some active community discussion on the best method to pursue.
https://mahout.apache.org/general/mailing-lists,-irc-and-archives.html
answered Nov 12 at 18:48
rawkintrevo
458310
Not sure exactly what you're trying to do, but you might consider looking at http://commons.apache.org/proper/commons-math/javadocs/api-3.5/org/apache/commons/math3/distribution/NormalDistribution.html
The distributions in org.apache.commons.math are pretty good and that's why we didn't recreate them.
UPDATE OK, you're getting off into some math theory and should probably ask this on stats.stackexchange.com or something like it as it is relative to statistics, not the programming implementation. What you're talking about is a sort of Delta recommender. You could bootleg it by using the Mahout CCO reccomender and having a seperate "feature" (or matrix) of items and "clicks in the last 7 days". There are multiple ways to skin this cat though, for more info on how to implement in Mahout please join the dev or user mailing lists, as there will be some active community discussion on the best method to pursue.
https://mahout.apache.org/general/mailing-lists,-irc-and-archives.html
answered Nov 12 at 18:48
rawkintrevo
458310
edited Nov 14 at 14:14
answered Nov 12 at 18:48
rawkintrevo
458310
answered Nov 12 at 18:48
rawkintrevo
458310
answered Nov 12 at 18:48
rawkintrevo
458310
458310
thank you for your reply! I tried to add more info about what I try to accomplish
– Quick n Dirty
Nov 14 at 11:56
add a comment |
thank you for your reply! I tried to add more info about what I try to accomplish
– Quick n Dirty
Nov 14 at 11:56
thank you for your reply! I tried to add more info about what I try to accomplish
– Quick n Dirty
Nov 14 at 11:56
thank you for your reply! I tried to add more info about what I try to accomplish
– Quick n Dirty
Nov 14 at 11:56
add a comment |
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