ElasticSearch -- use distance from point to affect query relevance ElasticSearch -- use distance from point to affect query relevance elasticsearch elasticsearch

ElasticSearch -- use distance from point to affect query relevance


The recently (0.90.4) added function_score query type adds support for ranking based on distance. This is an alternative to the custom score query type.

http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-function-score-query.html

An example lifted from there:

"query": {  "function_score": {    "functions": [      { "gauss":  { "loc":   { "origin": "51,0", "scale": "5km" }}},    ]  }}

This applies a decay function (there are several) to a field ("loc") that scores against the distance from an origin given a particular scale. This is exactly what you'd want for distance ranking since it gives you a lot of flexibility to how it should rank without writing custom scripts.


You can use distance function in the script of the Custom Score Query to modify _score based on the distance from a centerpoint.