Suggester (0.9.7) Test
Select Dataset, Parameters and click Load
Test your parameter choices
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Dataset
Select a dataset to test.
Dataset:
Emails
Addresses
Load
Case Sensitivity
Case sensitivity of search.
Sensitive
Insensitive
Term Decay and Mapping
A suggestion is a sequence of terms with a specific ordering. Term decay determines how important this ordering is to result weighting. A high decay will emphasise proximal terms over distal terms. A low decay will place less empahsis on term ordering.
Term Decay:
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
Term mappings describe how suggestion and search text is transformed prior to processing. Choice of mapping affects search characteristics and memory usage.
Tokens
Alpha
AlphaAndNumeric
AlphaOrNumeric
Bigram
Trigram
Current Search Input Mapping Result
The terms generated by the selected Term Mapping over the current search input and their corresponding proximality.
Term Edit Distance
Hamming distance used when searching for individual terms. *Increasing distance may cause growth in processing time.
Term Edit Distance:
0
1
2
3
4
5
Secondary Value
The secondary value allows priority ordering of suggestions with same score. For example setting this to timestamp ensures that the latest accepted suggestion is given higher priority thsan other suggestions with same score.
Timestamp
Default
Stats
Memory
Ratio