1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271
|
.. -*- rst -*-
.. groonga-command
.. database: suggest
.. $ groonga-suggest-create-dataset ${DB_PATH} query
``suggest``
===========
.. note::
The suggest feature specification isn't stable. The
specification may be changed.
Summary
-------
suggest - returns completion, correction and/or suggestion for a query.
The suggest command returns completion, correction and/or
suggestion for a specified query.
See :doc:`/reference/suggest/introduction` about completion,
correction and suggestion.
Syntax
------
::
suggest types
table
column
query
[sortby=-_score]
[output_columns=_key,_score]
[offset=0]
[limit=10]
[frequency_threshold=100]
[conditional_probability_threshold=0.2]
[prefix_search=auto]
Usage
-----
Here are learned data for completion.
.. groonga-command
.. include:: ../../example/reference/commands/suggest-learn-completion.log
.. load --table event_query --each 'suggest_preparer(_id, type, item, sequence, time, pair_query)'
.. [
.. {"sequence": "1", "time": 1312950803.86057, "item": "e"},
.. {"sequence": "1", "time": 1312950803.96857, "item": "en"},
.. {"sequence": "1", "time": 1312950804.26057, "item": "eng"},
.. {"sequence": "1", "time": 1312950804.56057, "item": "engi"},
.. {"sequence": "1", "time": 1312950804.76057, "item": "engin"},
.. {"sequence": "1", "time": 1312950805.86057, "item": "engine", "type": "submit"}
.. ]
Here are learned data for correction.
.. groonga-command
.. include:: ../../example/reference/commands/suggest-learn-correction.log
.. load --table event_query --each 'suggest_preparer(_id, type, item, sequence, time, pair_query)'
.. [
.. {"sequence": "2", "time": 1312950803.86057, "item": "s"},
.. {"sequence": "2", "time": 1312950803.96857, "item": "sa"},
.. {"sequence": "2", "time": 1312950804.26057, "item": "sae"},
.. {"sequence": "2", "time": 1312950804.56057, "item": "saer"},
.. {"sequence": "2", "time": 1312950804.76057, "item": "saerc"},
.. {"sequence": "2", "time": 1312950805.76057, "item": "saerch", "type": "submit"},
.. {"sequence": "2", "time": 1312950809.76057, "item": "serch"},
.. {"sequence": "2", "time": 1312950810.86057, "item": "search", "type": "submit"}
.. ]
Here are learned data for suggestion.
.. groonga-command
.. include:: ../../example/reference/commands/suggest-learn-suggestion.log
.. load --table event_query --each 'suggest_preparer(_id, type, item, sequence, time, pair_query)'
.. [
.. {"sequence": "3", "time": 1312950803.86057, "item": "search engine", "type": "submit"},
.. {"sequence": "3", "time": 1312950808.86057, "item": "web search realtime", "type": "submit"}
.. ]
Here is a completion example.
.. groonga-command
.. include:: ../../example/reference/commands/suggest-completion.log
.. suggest --table item_query --column kana --types complete --frequency_threshold 1 --query en
Here is a correction example.
.. groonga-command
.. include:: ../../example/reference/commands/suggest-correction.log
.. suggest --table item_query --column kana --types correct --frequency_threshold 1 --query saerch
Here is a suggestion example.
.. groonga-command
.. include:: ../../example/reference/commands/suggest-suggestion.log
.. suggest --table item_query --column kana --types suggest --frequency_threshold 1 --query search
Here is a mixed example.
.. groonga-command
.. include:: ../../example/reference/commands/suggest-mixed.log
.. suggest --table item_query --column kana --types complete|correct|suggest --frequency_threshold 1 --query search
Parameters
----------
``types``
Specifies what types are returned by the suggest
command.
Here are available types:
``complete``
The suggest command does completion.
``correct``
The suggest command does correction.
``suggest``
The suggest command does suggestion.
You can specify one or more types separated by ``|``.
Here are examples:
It returns correction::
correct
It returns correction and suggestion::
correct|suggest
It returns complete, correction and suggestion::
complete|correct|suggest
``table``
Specifies table name that has ``item_${DATA_SET_NAME}`` format.
For example, ``item_query`` is a table name if you created
dataset by the following command::
groonga-suggest-create-dataset /tmp/db-path query
``column``
Specifies a column name that has furigana in
Katakana in ``table`` table.
``query``
Specifies query for completion, correction and/or
suggestion.
``sortby``
Specifies sort key.
Default:
``-_score``
``output_columns``
Specifies output columns.
Default:
``_key,_score``
``offset``
Specifies returned records offset.
Default:
``0``
``limit``
Specifies number of returned records.
Default:
``10``
``frequency_threshold``
Specifies threshold for item frequency. Returned records must have
``_score`` that is greater than or equal to ``frequency_threshold``.
Default:
``100``
``conditional_probability_threshold``
Specifies threshold for conditional
probability. Conditional probability is used for learned
data. It is probability of query submission when ``query``
is occurred. Returned records must have conditional
probability that is greater than or equal to
``conditional_probability_threshold``.
Default:
``0.2``
``prefix_search``
Specifies whether optional prefix search is used or not
in completion.
Here are available values:
``yes``
Prefix search is always used.
``no``
Prefix search is never used.
``auto``
Prefix search is used only when other search can't
find any records.
Default:
``auto``
``similar_search``
Specifies whether optional similar search is used or not
in correction.
Here are available values:
``yes``
Similar search is always used.
``no``
Similar search is never used.
``auto``
Similar search is used only when other search can't
find any records.
Default:
``auto``
Return value
------------
Here is a returned JSON format::
{"type1": [["candidate1", score of candidate1],
["candidate2", score of candidate2],
...],
"type2": [["candidate1", score of candidate1],
["candidate2", score of candidate2],
...],
...}
``type``
A type specified by ``types``.
``candidate``
A candidate for completion, correction or suggestion.
``score of candidate``
A score of corresponding ``candidate``. It means that
higher score candidate is more likely candidate for
completion, correction or suggestion. Returned candidates
are sorted by ``score of candidate`` descending by
default.
See also
--------
* :doc:`/reference/suggest`
* :doc:`/reference/executables/groonga-suggest-create-dataset`
|