Thanks a lot Owen. One more small favor,hope its fine for you.
 I'd like to get your suggestion on my implementation of my Item
 based recommendation over the same data set.(data set with no 
preference value).

The sample code i have used is given below, it works fine with 
recommendations being produced. Could you please look into it and just 
verify whether the use of ItemSimilarity and ItemBasedRecommender are the
 best suited ones for Boolean data sets. 



           //item similarity recommendation based on User Id

            FileDataModel dataModel = new FileDataModel(new File(recsFile));

            ItemSimilarity itemSimilarity = new 
TanimotoCoefficientSimilarity(dataModel);

            ItemBasedRecommender recommender =new 
GenericItemBasedRecommender(dataModel, itemSimilarity);

            List<RecommendedItem> recommendations 
=recommender.recommend(userId, noOfRecommendations);

            System.out.println(recommendations);



           //item similarity recommendation based on Item Id

            recommendations= recommender.mostSimilarItems(itemId, 
noOfRecommendations);

             System.out.println(recommendations);



Please let me know you suggestions and comments on the code snippet. Is 
this the right way to so Item based recommendations on Boolean data 
sets?

Thanks and Regards
        Bejoy.K.S




> Date: Fri, 12 Nov 2010 15:34:03 +0000
> Subject: Re: Mahout - Help needed - files with no preferences and integarting 
> mahout with Hadoop
> From: [email protected]
> To: [email protected]
> 
> http://manning.com/owen
> 
> On Fri, Nov 12, 2010 at 3:16 PM, bejoy ks <[email protected]> wrote:
> 
> >
> > Ok that'd be great Owen , if you could point me to the book 'Mahout in
> > Action' . I'm bit interested to know more on the possibilities available
> > with mahout and also the right usage of similarities, recommenders
                                          

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