- Elasticsearch Guide: other versions:
- Setup
- API Conventions
- Document APIs
- Search APIs
- Indices APIs
- Create Index
- Delete Index
- Indices Exists
- Open / Close Index API
- Put Mapping
- Get Mapping
- Get Field Mapping
- Types Exists
- Delete Mapping
- Index Aliases
- Update Indices Settings
- Get Settings
- Analyze
- Index Templates
- Warmers
- Status
- Indices Stats
- Indices Segments
- Clear Cache
- Flush
- Refresh
- Optimize
- Gateway Snapshot
- Cluster APIs
- Query DSL
- Queries
- Match Query
- Multi Match Query
- Bool Query
- Boosting Query
- Common Terms Query
- Custom Filters Score Query
- Custom Score Query
- Custom Boost Factor Query
- Constant Score Query
- Dis Max Query
- Field Query
- Filtered Query
- Fuzzy Like This Query
- Fuzzy Like This Field Query
- Function Score Query
- Fuzzy Query
- GeoShape Query
- Has Child Query
- Has Parent Query
- Ids Query
- Indices Query
- Match All Query
- More Like This Query
- More Like This Field Query
- Nested Query
- Prefix Query
- Query String Query
- Simple Query String Query
- Range Query
- Regexp Query
- Span First Query
- Span Multi Term Query
- Span Near Query
- Span Not Query
- Span Or Query
- Span Term Query
- Term Query
- Terms Query
- Top Children Query
- Wildcard Query
- Text Query
- Minimum Should Match
- Multi Term Query Rewrite
- Filters
- And Filter
- Bool Filter
- Exists Filter
- Geo Bounding Box Filter
- Geo Distance Filter
- Geo Distance Range Filter
- Geo Polygon Filter
- GeoShape Filter
- Geohash Cell Filter
- Has Child Filter
- Has Parent Filter
- Ids Filter
- Indices Filter
- Limit Filter
- Match All Filter
- Missing Filter
- Nested Filter
- Not Filter
- Numeric Range Filter
- Or Filter
- Prefix Filter
- Query Filter
- Range Filter
- Regexp Filter
- Script Filter
- Term Filter
- Terms Filter
- Type Filter
- Queries
- Mapping
- Analysis
- Analyzers
- Tokenizers
- Token Filters
- Standard Token Filter
- ASCII Folding Token Filter
- Length Token Filter
- Lowercase Token Filter
- NGram Token Filter
- Edge NGram Token Filter
- Porter Stem Token Filter
- Shingle Token Filter
- Stop Token Filter
- Word Delimiter Token Filter
- Stemmer Token Filter
- Stemmer Override Token Filter
- Keyword Marker Token Filter
- Keyword Repeat Token Filter
- KStem Token Filter
- Snowball Token Filter
- Phonetic Token Filter
- Synonym Token Filter
- Compound Word Token Filter
- Reverse Token Filter
- Elision Token Filter
- Truncate Token Filter
- Unique Token Filter
- Pattern Capture Token Filter
- Pattern Replace Token Filter
- Trim Token Filter
- Limit Token Count Token Filter
- Hunspell Token Filter
- Common Grams Token Filter
- Normalization Token Filter
- Keep Words Token Filter
- Delimited Payload Token Filter
- Character Filters
- ICU Analysis Plugin
- Modules
- Index Modules
- Glossary of terms
WARNING: Version 0.90 of Elasticsearch has passed its EOL date.
This documentation is no longer being maintained and may be removed. If you are running this version, we strongly advise you to upgrade. For the latest information, see the current release documentation.
More Like This Field Query
editMore Like This Field Query
editThe more_like_this_field
query is the same as the more_like_this
query, except it runs against a single field. It provides nicer query
DSL over the generic more_like_this
query, and support typed fields
query (automatically wraps typed fields with type filter to match only
on the specific type).
{ "more_like_this_field" : { "name.first" : { "like_text" : "text like this one", "min_term_freq" : 1, "max_query_terms" : 12 } } }
more_like_this_field
can be shortened to mlt_field
.
The more_like_this_field
top level parameters include:
Parameter | Description |
---|---|
|
The text to find documents like it, required. |
|
The percentage of terms to match on (float
value). Defaults to |
|
The frequency below which terms will be ignored in the
source doc. The default frequency is |
|
The maximum number of query terms that will be
included in any generated query. Defaults to |
|
An array of stop words. Any word in this set is considered "uninteresting" and ignored. Even if your Analyzer allows stopwords, you might want to tell the MoreLikeThis code to ignore them, as for the purposes of document similarity it seems reasonable to assume that "a stop word is never interesting". |
|
The frequency at which words will be ignored which do
not occur in at least this many docs. Defaults to |
|
The maximum frequency in which words may still appear. Words that appear in more than this many docs will be ignored. Defaults to unbounded. |
|
The minimum word length below which words will be
ignored. Defaults to |
|
The maximum word length above which words will be
ignored. Defaults to unbounded ( |
|
Sets the boost factor to use when boosting terms.
Defaults to |
|
Sets the boost value of the query. Defaults to |
|
The analyzer that will be used to analyze the text. Defaults to the analyzer associated with the field. |