Boosting certain conditions

Brandon_Hilkert · 2012-11-06 13:06:46 UTC

I have the following filtered query right now:

{
"query": {
"filtered": {
"query": {
"query_string": {
"query": "MySQL Apple"
}
},
"filter": {
"and": [
{
"term": {
"is_active": true
}
},
{
"not": {
"terms": {
"id": [
6433746,
5308541
]
}
}
},
{
"not": {
"terms": {
"linkedin_id": [
"D-D5EAmm_J",
"SxQY_1y5pA",
"Nqt6b6We2-"
]
}
}
},
{
"not": {
"terms": {
"fb_user_id": [
"120139",
"503009",
"610039"
]
}
}
}
]
}
}
},
"size": 9,
"fields": [
"id"
]
}

As you can see I need the following:

Search the _all field for query text
Filter out certain Facebook, Linkedin, and system users

As part of this, I would like to add the following:

Boost certain results when their field "fb_connections" contains certain
IDs that I will pass in. Likewise for the "linkedin_connections" field.

Can I still use a filtered query? If so, what might that addition look
like? If not, what is the more appropriate query type.

Thanks,
Brandon

--

Igor_Motov · 2012-11-06 22:53:42 UTC

Yes, you can still use filtered query. You just need to wrap your existing
query into Custom Filters Score queryhttp://www.elasticsearch.org/guide/reference/query-dsl/custom-filters-score-query.htmlto boost results that match certain conditions. The conditions can be
expressed as list of filters with corresponding boost factor:

{
"query": {
"filtered": {
"query": {

```
   "custom_filters_score" : {*
```
```
     "query": {*
```

       *"query_string": {
        "query": "MySQL Apple"
      },

```
       "filters" : [*
```
```
           {*
```

             "filter" : { "term" : { "linkedin_connections" :

"DEds324ts34"} },*

```
             "boost" : "3"*
```
```
           },*
```
```
           {*
```

             "filter" : { "term" : { "fb_connections" : "123456"} },*

```
             "boost" : "2"*
```
```
           }*
```
```
       ],*
```

       "score_mode" : "first"            *

     }*
},
"filter": {
  "and": [
    {
      "term": {
        "is_active": true
      }
    },

........... the rest of your query .............

On Tuesday, November 6, 2012 8:06:46 AM UTC-5, Brandon Hilkert wrote:

I have the following filtered query right now:

{
"query": {
"filtered": {
"query": {
"query_string": {
"query": "MySQL Apple"
}
},
"filter": {
"and": [
{
"term": {
"is_active": true
}
},
{
"not": {
"terms": {
"id": [
6433746,
5308541
]
}
}
},
{
"not": {
"terms": {
"linkedin_id": [
"D-D5EAmm_J",
"SxQY_1y5pA",
"Nqt6b6We2-"
]
}
}
},
{
"not": {
"terms": {
"fb_user_id": [
"120139",
"503009",
"610039"
]
}
}
}
]
}
}
},
"size": 9,
"fields": [
"id"
]
}

As you can see I need the following:

Search the _all field for query text

Filter out certain Facebook, Linkedin, and system users

As part of this, I would like to add the following:

Boost certain results when their field "fb_connections" contains certain
IDs that I will pass in. Likewise for the "linkedin_connections" field.

Can I still use a filtered query? If so, what might that addition look
like? If not, what is the more appropriate query type.

Thanks,
Brandon

--

Brandon_Hilkert · 2012-11-06 23:07:31 UTC

Thanks Igor. Would I still get results that are outside the filter? I
really just want that boosting to strengthen the results, but don't want it
to limit it to just those.

On Tue, Nov 6, 2012 at 5:53 PM, Igor Motov imotov@gmail.com wrote:

Yes, you can still use filtered query. You just need to wrap your existing
query into Custom Filters Score queryhttp://www.elasticsearch.org/guide/reference/query-dsl/custom-filters-score-query.htmlto boost results that match certain conditions. The conditions can be
expressed as list of filters with corresponding boost factor:

{
"query": {
"filtered": {
"query": {
   "custom_filters_score" : {*
     "query": {*
       *"query_string": {
        "query": "MySQL Apple"
      },
       "filters" : [*
           {*
             "filter" : { "term" : { "linkedin_connections" :
"DEds324ts34"} },*
             "boost" : "3"*
           },*
           {*
             "filter" : { "term" : { "fb_connections" : "123456"} },
             "boost" : "2"*
           }*
       ],*
       "score_mode" : "first"            *
     }*
},
"filter": {
  "and": [
    {
      "term": {
        "is_active": true
      }
    },
........... the rest of your query .............

On Tuesday, November 6, 2012 8:06:46 AM UTC-5, Brandon Hilkert wrote:

I have the following filtered query right now:

{
"query": {
"filtered": {
"query": {
"query_string": {
"query": "MySQL Apple"
}
},
"filter": {
"and": [
{
"term": {
"is_active": true
}
},
{
"not": {
"terms": {
"id": [
6433746,
5308541
]
}
}
},
{
"not": {
"terms": {
"linkedin_id": [
"D-D5EAmm_J",
"SxQY_1y5pA",
"Nqt6b6We2-"
]
}
}
},
{
"not": {
"terms": {
"fb_user_id": [
"120139",
"503009",
"610039"
]
}
}
}
]
}
}
},
"size": 9,
"fields": [
"id"
]
}

As you can see I need the following:

Search the _all field for query text

Filter out certain Facebook, Linkedin, and system users

As part of this, I would like to add the following:

Boost certain results when their field "fb_connections" contains certain
IDs that I will pass in. Likewise for the "linkedin_connections" field.

Can I still use a filtered query? If so, what might that addition look
like? If not, what is the more appropriate query type.

Thanks,
Brandon

--

--

Igor_Motov · 2012-11-06 23:16:31 UTC

Yes, this is what Custom Filters Score is doing. It uses these filters to
boost results, not to limit them.

On Tuesday, November 6, 2012 6:07:54 PM UTC-5, Brandon Hilkert wrote:

Thanks Igor. Would I still get results that are outside the filter? I
really just want that boosting to strengthen the results, but don't want it
to limit it to just those.

On Tue, Nov 6, 2012 at 5:53 PM, Igor Motov <imo...@gmail.com <javascript:>

wrote:
Yes, you can still use filtered query. You just need to wrap your
existing query into Custom Filters Score queryhttp://www.elasticsearch.org/guide/reference/query-dsl/custom-filters-score-query.htmlto boost results that match certain conditions. The conditions can be
expressed as list of filters with corresponding boost factor:

{
"query": {
"filtered": {
"query": {
   "custom_filters_score" : {*
     "query": {*
       *"query_string": {
        "query": "MySQL Apple"
      },
       "filters" : [*
           {*
             "filter" : { "term" : { "linkedin_connections" : 
"DEds324ts34"} },*
             "boost" : "3"*
           },*
           {*
             "filter" : { "term" : { "fb_connections" : "123456"} 
},*
             "boost" : "2"*
           }*
       ],*
       "score_mode" : "first"            *
     }*
},
"filter": {
  "and": [
    {
      "term": {
        "is_active": true
      }
    },
........... the rest of your query .............

On Tuesday, November 6, 2012 8:06:46 AM UTC-5, Brandon Hilkert wrote:

I have the following filtered query right now:

{
"query": {
"filtered": {
"query": {
"query_string": {
"query": "MySQL Apple"
}
},
"filter": {
"and": [
{
"term": {
"is_active": true
}
},
{
"not": {
"terms": {
"id": [
6433746,
5308541
]
}
}
},
{
"not": {
"terms": {
"linkedin_id": [
"D-D5EAmm_J",
"SxQY_1y5pA",
"Nqt6b6We2-"
]
}
}
},
{
"not": {
"terms": {
"fb_user_id": [
"120139",
"503009",
"610039"
]
}
}
}
]
}
}
},
"size": 9,
"fields": [
"id"
]
}

As you can see I need the following:

Search the _all field for query text

Filter out certain Facebook, Linkedin, and system users

As part of this, I would like to add the following:

Boost certain results when their field "fb_connections" contains certain
IDs that I will pass in. Likewise for the "linkedin_connections" field.

Can I still use a filtered query? If so, what might that addition look
like? If not, what is the more appropriate query type.

Thanks,
Brandon

--

--

system · 2017-07-06 03:05:49 UTC