search|hub preDict (CE) Community Edition

search|hub enables blazing fast language independent spell correction at scale

Some basics about the spell correction problem

Edit Distance

preDict is based on the spell correction fuzzy search library SymSpell with a few customizations and optimization:

preDict customizations

Our main goal was to increase accuracy whilst maintaining the increabible speed by adding:

Benchmark Results

Run on Windows10 with a Intel(R) Core(TM) i7-6700 CPU (2.60GHz) with Java(TM) 1.8.0_121

Benchmark                             Mode  Cnt   Score   Error   Units
SearchHub with PreDict EE *          thrpt  200  96,019 ± 1,007  ops/ms
PreDict CE                           thrpt  200  82,116 ± 1,149  ops/ms
Original SymSpell (Port)             thrpt  200  68,105 ± 0,977  ops/ms
Lucene (FST Based FuzzySuggester)    thrpt    5  17,588 ± 0,690  ops/ms
Lucene (Fuzzy Field-Search)          thrpt  200   0,749 ± 0,017  ops/ms

Quality Results

Based on data we collected for a few months. The test data is attached to the comparison project and can be changed. Changes to the data will, of course, change the results, but the differences shouldn't be that dramatical.

Benchmark                         Accuracy    TP   TN  Fail-Rate    FN   FP
SearchHub with PreDict EE *         98,87%  7452  355      1,13%    52   37
PreDict CE                          90,04%  6937  320      9,96%   496  307 
Original SymSpell (Port)            88,87%  6842  321     11,13%   591  306
Lucene (Fuzzy Field-Search)         88,87%  6803  360     11,13%   630  267
Lucene (FST based FuzzySuggester)   78,96%  5883  481     21,04%  1550  146

*SearchHub with PreDict EE represents our commercial offering https://www.searchhub.io This offering is a search platform independent, AI-powered search query intelligence API containing our concept of controlled precision reduction and PreDict EE (Enterprise Edition) which is capable of handling language agnostic term decomposition and disambiguation.