[MAHOUT-362] Computation of pairwise cosine similarities for Item-Based Collaborative Filtering

• Type: New Feature
• Status: Closed
• Priority: Major
• Resolution: Fixed
• Fix Version/s: 0.4
• Assignee: Sean R. Owen
• Reporter: Sebastian Schelter
• Created: 04/Apr/10 17:24
• Updated: 31/Jan/24 22:11
• Resolved: 05/Apr/10 15:56

Description

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)