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authorBryan Newbold <bnewbold@archive.org>2022-09-07 18:47:56 -0700
committerBryan Newbold <bnewbold@archive.org>2022-09-07 18:47:56 -0700
commit09d783c9d8557649cbe4fca91145d0236b8f6090 (patch)
treec96db080174162cea5552aa42b9de238d3e412e6
parent880dcee30da19c7802f1c1a40448d06f886024d7 (diff)
downloadlsh-interop-09d783c9d8557649cbe4fca91145d0236b8f6090.tar.gz
lsh-interop-09d783c9d8557649cbe4fca91145d0236b8f6090.zip
add updated links/resources (from 2020)HEADmaster
-rw-r--r--README.md2
-rw-r--r--updates_20200525.md25
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+++ b/README.md
@@ -160,6 +160,8 @@ Other resources:
plugin for a general-purpose search engine
- [bbalet/stopwords](https://github.com/bbalet/stopwords) (Golang): for a
dozen+ languages. also does HTML stripping
+- [soundcloud/cosine-lsh-jo](https://github.com/soundcloud/cosine-lsh-jo)
+ (Spark): nearest-neighbor clustering
## References
diff --git a/updates_20200525.md b/updates_20200525.md
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+
+There seem to be a bunch of new resources since I first researched this topic in 2017.
+
+Chapter 3: Finding Similar Items
+of Mining Massive Datasets textbook
+http://www.mmds.org/
+http://infolab.stanford.edu/~ullman/mmds/ch3.pdf
+
+1 + 1 = 1 or Record Deduplication with Python
+https://www.youtube.com/watch?v=4O87RdBgRJ4&feature=youtu.be
+
+Entity Resolution: Introduction
+https://www2.cs.duke.edu/courses/spring17/compsci590.1/lectures/14-er-intro.pdf
+
+Document Deduplication with Locality Sensitive Hashing
+https://mattilyra.github.io/2017/05/23/document-deduplication-with-lsh.html
+
+"How to speedup MinHash LSH indexing for hundreds of millions of MinHashes?"
+https://github.com/ekzhu/datasketch/issues/41
+
+"MinHash LSH for document clustering"
+https://github.com/ekzhu/datasketch/issues/120
+
+"Easy computation of all duplicates?"
+https://github.com/ekzhu/datasketch/issues/76