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Re: Recommendation scores from LogLikelihood Similarity recommender - Mahout - [mail # user]
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... recommend that you test a boolean approach where in *any* action is considered positive and another where you consider only your positive actions and ignore your negative actions. If necessary...
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Author: Ted Dunning,
2012-05-06, 19:53
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Re: Problems with Mahout's RecommenderIRStatsEvaluator - Mahout - [mail # user]
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...Sean I think it is still a supervised learning problem in that there is a labelled training data set and an unlabeled test data set. Learning a ranking doesn't change the basic ...
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Author: Ted Dunning,
2013-02-16, 23:15
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Re: Problems with Mahout's RecommenderIRStatsEvaluator - Mahout - [mail # user]
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...There are a variety of common time based effects which make time splits best in many practical cases. Having the training data all be from the past emulates this better than random spl...
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Author: Ted Dunning,
2013-02-16, 23:12
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Re: (near) real time recommender/predictor - Mahout - [mail # user]
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...On Sat, Feb 2, 2013 at 1:03 PM, Pat Ferrel wrote: No. I agree with it. Human relatedness decays much more quickly than item popularity. I was extending this. &...
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Author: Ted Dunning,
2013-02-02, 21:25
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Re: (near) real time recommender/predictor - Mahout - [mail # user]
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...Pat, This is an important effect and it strongly informs how you should down-sample heavy users as well as how you should handle temporal dynamics. On Sat, Feb 2, 2013 at 9:54 AM...
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Author: Ted Dunning,
2013-02-02, 19:44
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Re: recommend ads using mahout? - Mahout - [mail # user]
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... doesn't provide the necessary accuracy. I have some early work on the bandit algorithms on github but this is still early work. I think that using a recommender with ad features only would...
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Author: Ted Dunning,
2012-04-04, 14:18
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Re: Cluster-based recommenders - Mahout - [mail # user]
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...Be aware that cluster based recommenders almost never perform as well as user/item based recommenders. On Mon, Mar 12, 2012 at 10:03 AM, Ahmed Abdeen Hamed wrote: ...
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Author: Ted Dunning,
2012-03-12, 17:49
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Re: Item Recommendations - Time based - Mahout - [mail # user]
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...Sean's comment is dead-on and your design inclinations are just fine. Hadoop can (eventually) help with the offline item similarity computation. The existing Mahout recommendation engine...
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... can do the actual item recommendation work at very high speed with an appropriate data store. On Mon, Mar 12, 2012 at 10:25 AM, Mridul Kapoor wrote: ...
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Author: Ted Dunning,
2012-03-12, 17:48
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Re: Item Recommendations - Time based - Mahout - [mail # user]
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...I would generally recommend using the LLR similarity. But if you have an itch, scratch it. I do think we have a tanimoto similarity already, possibly under a slightly different name...
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Author: Ted Dunning,
2012-03-12, 22:59
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Re: Item Recommendations - Time based - Mahout - [mail # user]
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...Actually I don't think that you will need to implement your own item similarity. Just preprocess your input by grouping by user and sorting by time. Then break user sessions into sepa...
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Author: Ted Dunning,
2012-03-12, 18:52
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