Created
April 11, 2016 01:23
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Example of Elasticsearch function scoring with gaussian decay
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| { | |
| "query": { | |
| "function_score": { | |
| "query": { | |
| "multi_match": { | |
| "query": "...", | |
| "fields": [ | |
| "title", "content", "author", | |
| "tag.name", "category.name" | |
| ], | |
| "cross_fields": true, | |
| "operator": "and" | |
| } | |
| }, | |
| "filter": { ... }, | |
| "functions": [ | |
| { | |
| "gauss": { | |
| "origin": "now/d", | |
| "scale": "7d", | |
| "decay": 0.75 | |
| } | |
| } | |
| ], | |
| "score_mode": "multiply", | |
| "boost_mode": "multiply" | |
| } | |
| } | |
| } |
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See the following post on how to properly tune the decay parameters of the function score query:
https://xyu.io/2016/04/11/visualizing-elasticsearch-function-scores/