Hi all,
We'd like to combine the query score with our own custom trending score for
a given document. Currently, our query looks like:
{
"query": {
"filtered": {
"filter": {
"and": [
{
"range": {
"trendingScore": {
"gt": 0.0
}
}
}
]
},
"query": {
"function_score": {
"functions": [
{
"field_value_factor": {
"field": "trendingScore"
}
}
],
"query": {
"bool": {
"minimum_should_match": 1,
"should": [
{
"match_phrase": {
"title": {
"boost": 1.5,
"query": "<phrase>"
}
}
},
{
"match_phrase": {
"content": {
"boost": 1.0,
"query": "<phrase>"
}
}
}
]
}
}
}
}
}
}
}
So, this query seems to do want we want: it multiples the query score for
document with our custom trending score (stored on the "trendingScore"
field). The problem is that the trending score, in many cases, overwhelms
the query score. Thus, documents with very low relevancy, but very high
trending, are at the top of our results. Ideally, we'd filter the query to
only return the top N percentage of documents that matched, but I don't
think that's possible. We've looked at the min_score parameter for queries
as well, but I don't know what a "good" value would be for this.
Does anyone have any ideas on the best way to solve this problem? Thank you
ahead of time!
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