Gives realtime performance in 20-100 dimensional feature spaces, over hundreds of thousands of items.
Includes the following similarity measures
The generalized similarity measure is based on an alternate normalization of cosine similarity, and includes both cosine similarity and lift as special cases.
- efficient calculation of a relevant subset of Bregman Divergences
- subsetting of feature vectors for inclusion in results with boolean vectors (carrays)