Classifying documents after Naive Bayes model have been trained

Hi guys, I've successfully trained a Naive Bayes classification model, but now I want to use this model to classify incoming documents. How can one do this using Mahout commands? The only working solutions I've found are to develop customer Java programs that does all the magic for me (this

Re: Cannot build source version mahout-distribution-0.8

Hi After re-running mvn clean install the build was successful :-) Sorry for the noise Michael Am 27.08.13 15:59, schrieb Michael Wechner: Hi I have downloaded http://mirror.switch.ch/mirror/apache/dist/mahout/0.8/mahout-distribution-0.8-src.zip and tried to build it with mvn

Recommender for news articles based on own user profile (URL history)

Hi I am looking for a recommender example for news articles which is making suggestions based on a user profile (independent of other users/readers) or more specific on the reading history of a user. Let's say a specific user likes to read articles about cycling and international politics

Re: Recommender for news articles based on own user profile (URL history)

Hi Michael, Those are collaborative filtering examples, which would recommend a news article i, to a user u, based on: - A weighted average of other users' ratings on i (where weight is the similarity of two users' rating histories) - A weighted average of u's ratings on other items (where weight

Re: Error while Compiling Simple App with Mahout (v. 0.8)

Hi Darius, There is no module called mahout-utils in mahout 0.8. The documentation you referred to is prepared for mahout 0.4, it is outdated. So if you want to use mahout 0.8, remove that dependency, mahout-core would be sufficient. But that wouldn't compile, since SlopeOneRecommender doesn't

Re: Recommender for news articles based on own user profile (URL history)

You can use the Mahout text pipeline, which will give you weighted vectors based on TFIDF for each article. There is an example of this in Mahout in Action for clustering. Then run the RowSimilarityJob on them instead of clustering. This will give you a strength of similarity for each article

How much does DataModel is Refreshable in cf (Collaborative Filtering)

Dear All, I guess my question would be already discussed. I found a short explanation in stackoverflow ( http://stackoverflow.com/questions/7638400/mahouts-datamodel-with-genericdatamodel) but I would like to get more details. 1. Let's say I uploaded data from the file to DataModel. Is it the

Re: Recommender for news articles based on own user profile (URL history)

Hi Gokhan Thanks very much for the keywords and hints about this topic. Will do some more research and probably come back again at some later stage. Thanks Michael Am 29.08.13 16:53, schrieb Gokhan Capan: Hi Michael, Those are collaborative filtering examples, which would recommend a news

Re: Recommender for news articles based on own user profile (URL history)

Hi Pat Thanks very much for your suggestions. I will try to develop a recommender based on that and if somebody is interested in it, then I could contribute it as another example. Thanks Michael Am 29.08.13 18:02, schrieb Pat Ferrel: You can use the Mahout text pipeline, which will give