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Sean Owen commented on MAHOUT-362: ---------------------------------- Agree, I'm taking a first pass to unify this with the recommender stuff first. Then that should make it somewhat easier and clearer to think about refactoring up further. > Computation of pairwise cosine similarities for Item-Based Collaborative > Filtering > ---------------------------------------------------------------------------------- > > Key: MAHOUT-362 > URL: https://issues.apache.org/jira/browse/MAHOUT-362 > Project: Mahout > Issue Type: New Feature > Components: Collaborative Filtering > Reporter: Sebastian Schelter > Attachments: MAHOUT-362.patch > > > Provides a map/reduce job to precompute the pairwise cosine similarities > between the item vectors of the user-item-matrix. > The code uses a slightly modified version of the algorithm suggested in > "Elsayed et al: Pairwise Document Similarity in Large Collections with > MapReduce" > (http://www.umiacs.umd.edu/~jimmylin/publications/Elsayed_etal_ACL2008_short.pdf) -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.