Category: Mahout

Generating Recommendations with mahout for Boolean data sets

June 27, 2016 by S4

Filed under Hadoop, Mahout

Last modified June 27, 2016

Generating Recommendations with mahout for Boolean data sets (data sets with no preference value) Boolean data Sets Input data set that doesn’t have a preference value, ie input data set would be of the format UserId1,ItemId1 UserId2,ItemId2 Here it’d based on some data where an user either likes an item or he doesn’t, there is no preference value associated with this. When we use Boolean …

Evaluating Mahout based Recommender Implementations

June 27, 2016 by S4

Filed under Hadoop, Mahout

Last modified June 27, 2016

Evaluating Mahout based Recommender Implementations Mahout provides you an option to evaluate your generated recommendations against the actual preference values. In mahout recommender evaluators, a part of the real preference data set is kept as test data. These test preferences won’t be there in the training data set (actual data set – test data set) which is fed to the recommender under evaluation (ie all …

Evaluating Mahout based Recommender Implementations

June 27, 2016 by S4

Filed under Hadoop, Mahout

Last modified June 27, 2016

Evaluating Mahout based Recommender Implementations Mahout provides you an option to evaluate your generated recommendations against the actual preference values. In mahout recommender evaluators, a part of the real preference data set is kept as test data. These test preferences won’t be there in the training data set (actual data set – test data set) which is fed to the recommender under evaluation (ie all …

Mahout Recommendations with Data Sets containing Alpha Numeric Item Ids

June 27, 2016 by S4

Filed under Hadoop, Mahout

Last modified June 27, 2016

Mahout Recommendations with Data Sets containing Alpha Numeric Item Ids In real world data we can’t always ensure that the input data supplied to us in order to generate recommendations should contain only integer values for User and Item Ids. If these values or any one of these are not integers then default data models that mahout provides won’t be suitable to process our data. …

Mahout Recommendations in Distributed mode with Hadoop Map Reduce

June 27, 2016 by S4

Filed under Hadoop, Mahout

Last modified June 27, 2016

Mahout Recommendations in Distributed mode with Hadoop Map Reduce The implementation of mahout Recommendations in completely different in distributed environment compared to the same on stand alone. In distributed environment the concept of Data Model and neighborhood ceases exist, as data is distributed across multiple machines and computations are not just based on local data. In core when we take mahout into distributed mode there …