Any ideas why this would return a score of 1, when the last (bool must_not)
matches, even though the weight is set to 0.0?
As a bit of background, this provides custom scoring where
- if one field matches, score at .35,
- if another more important field matches, score .65,
- if both match, score 1.0 (the sume)
- if non match, score 0
If I change the no match weight to -1 or something very small, like
0.000001, the weight for the must_not match comes back accurately.
I am thinking this is some kind of divide by 0 error handerl in ES, that
returns 1 when a score hits 0?
GET test/document/_search
{
"query": {
"function_score": {
"filter": { "term": { "type": "animal" } },
"functions": [
{
"filter": {
"bool" : {
"must" : {
"term" : { "content" : "fish"}
}}},
"weight": 0.35
},
{
"filter": {
"bool" : {
"must" : {
"term" : { "user_description" : "fish" }
}}},
"weight": 0.65
},
{
"filter": {
"bool" : {
"must_not" : [
{"term" : { "user_description" : "fish" }},
{"term" : { "content" : "fish" }}
]
}
},
"weight": 0.0
}
],
"score_mode": "sum"
}
}
}
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