seamusabshere/fuzzy_match
Find a needle (a document or record) in a haystack using string similarity and (optionally) regular expression rules. Uses Dice's Coefficient (aka Pair Similiarity) and Levenshtein Distance internally.
RubyMIT
Issues
- 0
- 2
By default I get a 0.2 score match
#31 opened by priverop - 0
Engine results should match
#32 opened by jason-o-matic - 1
- 0
- 0
find similar?
#28 opened by chabgood - 1
how to match all-vs-all?
#21 opened by sbayona - 0
- 2
Undefined method `map`
#23 opened - 5
- 1
Crash using amatch
#18 opened by martnst - 2
- 1
- 4
Curious about Similarity#satisfy? logic
#12 opened by lukeasrodgers - 8
Match threshold
#4 opened by danyal - 0
Specs failing
#13 opened by lukeasrodgers - 4
- 0
jaro winkler * pair distance might work better than pair distance + levenshtein
#9 opened by seamusabshere - 4
Object caching with mongoid
#8 opened by bartoszkopinski - 0
License missing from gemspec
#7 opened by bf4 - 1
ruby 1.8.7 compatibility
#6 opened by zhaocai - 7
- 3
- 12
Match only beginning of words needed
#2 opened by firedev