Date: August 6, Friday Time: 2pm Room: CSB 632
Title: Online Generation of Locality Sensitive Hash Signatures
Authors: Benjamin Van Durme and Ashwin Lall
Abstract: Motivated by the recent interest in streaming algorithms for processing large text collections, we revisit the work of Ravichandran et al. (2005) on using the Locality Sensitive Hash (LSH) method of Charikar (2002) to enable fast, approximate comparisons of vector cosine similarity. For the common case of feature updates being additive over a data stream, we show that LSH signatures can be maintained online, without additional approximation error, and with lower memory requirements than when using the standard offline technique.