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 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.