# How scoring computed in wildcard and prefix query

**URL:** <https://discuss.elastic.co/t/how-scoring-computed-in-wildcard-and-prefix-query/16944>\
**Category:** Elasticsearch\
**Created:** [April 11, 2014, 3:45am UTC](https://discuss.elastic.co/t/how-scoring-computed-in-wildcard-and-prefix-query/16944 "2014-04-11T03:45:58Z")\
**Posts on this page:** 5\
**Page:** 1

<div class="post-metadata">

**Author:** ![cyrilforce](https://avatars.discourse-cdn.com/v4/letter/c/76d3ee/32.png) [@cyrilforce](https://discuss.elastic.co/u/cyrilforce)\
**Post date:** [April 11, 2014, 3:45am UTC](https://discuss.elastic.co/t/how-scoring-computed-in-wildcard-and-prefix-query/16944/1 "2014-04-11T03:45:58Z")

</div>

Hi,

I have a question on how the scoring being computed on the following query  
:

{  
"from" : 0,  
"size" : 60,  
"explain" : true,  
"track\_scores" : true,  
"query" : {  
"bool" : {  
"should" : [  
{ "prefix": { "DISPLAY\_NAME" : { "value" : "_hap_",  
"rewrite" : "top\_terms\_10", "boost" : "3.0" }}},  
{ "prefix": {"PERFORMER" :{ "value" : "_hap_" }}}

```
            ]
    }

```

}  
}

and it produces result :

1. 

"DISPLAY\_NAME": "_Happier?_",  
, "\_explanation": {  
"value": _2.7100196_,  
"description": "product of:",  
"details": [  
{  
"value": 5.420039,  
"description": "sum of:",  
"details": [  
{  
"value": 5.420039,  
"description": "sum of:",  
"details": [  
{  
"value": 5.420039,  
"description":  
"weight(DISPLAY\_NAME:happier^3.0 in 32661) [PerFieldSimilarity], result  
of:",  
"details": [  
{  
"value": 5.420039,  
"description":  
"score(doc=32661,freq=1.0 = termFreq=1.0\n), product of:",  
"details": [  
{  
"value":  
0.34746242,  
"description":  
"queryWeight, product of:",  
"details": [  
{

"value": 3,

"description": "boost"  
},  
{  
\*  
"value": 15.598923,\*  
\*  
"description": "idf(docFreq=2, maxDocs=6566786)"\*  
},  
{  
\*  
"value": 0.0074249236,\*  
\*  
"description": "queryNorm"\*  
}  
]  
},  
{  
"value":  
15.598923,  
"description":  
"fieldWeight in 32661, product of:",  
"details": [  
{

"value": 1,

"description": "tf(freq=1.0), with freq of:",

"details": [  
{

"value": 1,

"description": "termFreq=1.0"  
}  
]  
},  
{  
\*  
"value": 15.598923,\*  
\*  
"description": "idf(docFreq=2, maxDocs=6566786)"\*  
},  
{

"value": 1,

"description": "fieldNorm(doc=32661)"  
}  
]  
}  
]  
}  
]  
}  
]  
}  
]  
},  
{  
"value": 0.5,  
"description": "coord(1/2)"  
}

1. 

"DISPLAY\_NAME": _"Hap_penings",  
,  
"\_explanation": {  
"value": _2.5354335_,  
"description": "product of:",  
"details": [  
{  
"value": 5.070867,  
"description": "sum of:",  
"details": [  
{  
"value": 5.070867,  
"description": "sum of:",  
"details": [  
{  
"value": 5.070867,  
"description":  
"weight(DISPLAY\_NAME:happenings^3.0 in 23093) [PerFieldSimilarity], result  
of:",  
"details": [  
{  
"value": 5.070867,  
"description":  
"score(doc=23093,freq=1.0 = termFreq=1.0\n), product of:",  
"details": [  
{  
"value":  
0.33608392,  
"description": "  
_queryWeight_, product of:",  
"details": [  
{

"value": 3,

"description": "boost"  
},  
{  
_"value":  
15.088098,_  
\*  
"description": "idf(docFreq=4, maxDocs=6566786)"\*  
},  
{  
\*  
"value": 0.0074249236,\*  
\*  
"description": "queryNorm"\*  
}  
]  
},  
{  
"value":  
15.088098,  
"description": "\*fieldWeight  
\*in 23093, product of:",  
"details": [  
{

"value": 1,

"description": "tf(freq=1.0), with freq of:",

"details": [  
{

"value": 1,

"description": "termFreq=1.0"  
}  
]  
},  
{  
\*  
"value": 15.088098,\*  
\*  
"description": "idf(docFreq=4, maxDocs=6566786)"\*  
},  
{

"value": 1,

"description": "fieldNorm(doc=23093)"  
}  
]  
}  
]  
}  
]  
}  
]  
}  
]  
},  
{  
"value": 0.5,  
"description": "coord(1/2)"  
}  
]  
}  
}

As both of the display name in the documents matched "_Hap_" it should have  
same scoring however it yields different scoring as shown above. Further  
inspection on the explaining i found  
out that the different is in the queryWeight-\>idf and fieldWeight-\>idf  
fields :

1. 
  - "value": 15.598923,\*

- 

```
"description": "idf(docFreq=2, maxDocs=6566786)"*

```

_2)__"value": 15.088098,_

- 

```
    "description": "idf(docFreq=4, maxDocs=6566786)"*

```

I would like to know why the value is different and how this is being  
computed and what is docFreq ? Also i would like to know what is  
queryWeight as when i use wildcard and prefix query it only will computed  
the score with queryWeight otherwise only fieldWeight.

I am using _&search\_type=dfs\_query\_then\_fetch&preference=\_primary_ in the  
query.

And here is the gist for full result :

> <https://gist.github.com/cheehoo/10439849>

Thanks.

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---

<div class="post-metadata">

**Author:** ![dantuff](https://avatars.discourse-cdn.com/v4/letter/d/e79b87/32.png) [@dantuff](https://discuss.elastic.co/u/dantuff)\
**Post date:** [April 11, 2014, 5:25am UTC](https://discuss.elastic.co/t/how-scoring-computed-in-wildcard-and-prefix-query/16944/2 "2014-04-11T05:25:52Z")

</div>

The scoring is computed using the Lucene scoring:

[https://lucene.apache.org/core/3\_6\_2/api/all/org/apache/lucene/search/Similarity.html](https://lucene.apache.org/core/3_6_2/api/all/org/apache/lucene/search/Similarity.html)

the _idf_ is the inverse document frequency, which gives a higher score to  
the rarer terms in the index. The term '_Hap_penings' appears four times in  
your index, the term 'Happier' in appears twice your index therefore it has  
a higher score for idf.

Dan

On Friday, April 11, 2014 4:45:58 AM UTC+1, cyrilforce wrote:

> Hi,
> 
> I have a question on how the scoring being computed on the following query  
> :
> 
> {  
> "from" : 0,  
> "size" : 60,  
> "explain" : true,  
> "track\_scores" : true,  
> "query" : {  
> "bool" : {  
> "should" : [  
> { "prefix": { "DISPLAY\_NAME" : { "value" : "_hap_",  
> "rewrite" : "top\_terms\_10", "boost" : "3.0" }}},  
> { "prefix": {"PERFORMER" :{ "value" : "_hap_" }}}
> 
> ```
> ]
> }
> 
> ```
> 
> }  
> }
> 
> and it produces result :
> 
> 1. 
> 
> "DISPLAY\_NAME": "_Happier?_",  
> , "\_explanation": {  
> "value": _2.7100196_,  
> "description": "product of:",  
> "details": [  
> {  
> "value": 5.420039,  
> "description": "sum of:",  
> "details": [  
> {  
> "value": 5.420039,  
> "description": "sum of:",  
> "details": [  
> {  
> "value": 5.420039,  
> "description":  
> "weight(DISPLAY\_NAME:happier^3.0 in 32661) [PerFieldSimilarity], result  
> of:",  
> "details": [  
> {  
> "value": 5.420039,  
> "description":  
> "score(doc=32661,freq=1.0 = termFreq=1.0\n), product of:",  
> "details": [  
> {  
> "value":  
> 0.34746242,  
> "description":  
> "queryWeight, product of:",  
> "details": [  
> {
> 
> "value": 3,
> 
> "description": "boost"  
> },  
> {  
> \*  
> "value": 15.598923,\*  
> \*  
> "description": "idf(docFreq=2, maxDocs=6566786)"\*  
> },  
> {  
> \*  
> "value": 0.0074249236,\*  
> \*  
> "description": "queryNorm"\*  
> }  
> ]  
> },  
> {  
> "value":  
> 15.598923,  
> "description":  
> "fieldWeight in 32661, product of:",  
> "details": [  
> {
> 
> "value": 1,
> 
> "description": "tf(freq=1.0), with freq of:",
> 
> "details": [  
> {
> 
> "value": 1,
> 
> "description": "termFreq=1.0"  
> }  
> ]  
> },  
> {  
> \*  
> "value": 15.598923,\*  
> \*  
> "description": "idf(docFreq=2, maxDocs=6566786)"\*  
> },  
> {
> 
> "value": 1,
> 
> "description": "fieldNorm(doc=32661)"  
> }  
> ]  
> }  
> ]  
> }  
> ]  
> }  
> ]  
> }  
> ]  
> },  
> {  
> "value": 0.5,  
> "description": "coord(1/2)"  
> }
> 
> 1. 
> 
> "DISPLAY\_NAME": _"Hap_penings",  
> ,  
> "\_explanation": {  
> "value": _2.5354335_,  
> "description": "product of:",  
> "details": [  
> {  
> "value": 5.070867,  
> "description": "sum of:",  
> "details": [  
> {  
> "value": 5.070867,  
> "description": "sum of:",  
> "details": [  
> {  
> "value": 5.070867,  
> "description":  
> "weight(DISPLAY\_NAME:happenings^3.0 in 23093) [PerFieldSimilarity], result  
> of:",  
> "details": [  
> {  
> "value": 5.070867,  
> "description":  
> "score(doc=23093,freq=1.0 = termFreq=1.0\n), product of:",  
> "details": [  
> {  
> "value":  
> 0.33608392,  
> "description":  
> "_queryWeight_, product of:",  
> "details": [  
> {
> 
> "value": 3,
> 
> "description": "boost"  
> },  
> {  
> _"value":  
> 15.088098,_  
> \*  
> "description": "idf(docFreq=4, maxDocs=6566786)"\*  
> },  
> {  
> \*  
> "value": 0.0074249236,\*  
> \*  
> "description": "queryNorm"\*  
> }  
> ]  
> },  
> {  
> "value":  
> 15.088098,  
> "description":  
> "\*fieldWeight \*in 23093, product of:",  
> "details": [  
> {
> 
> "value": 1,
> 
> "description": "tf(freq=1.0), with freq of:",
> 
> "details": [  
> {
> 
> "value": 1,
> 
> "description": "termFreq=1.0"  
> }  
> ]  
> },  
> {  
> \*  
> "value": 15.088098,\*  
> \*  
> "description": "idf(docFreq=4, maxDocs=6566786)"\*  
> },  
> {
> 
> "value": 1,
> 
> "description": "fieldNorm(doc=23093)"  
> }  
> ]  
> }  
> ]  
> }  
> ]  
> }  
> ]  
> }  
> ]  
> },  
> {  
> "value": 0.5,  
> "description": "coord(1/2)"  
> }  
> ]  
> }  
> }
> 
> As both of the display name in the documents matched "_Hap_" it should  
> have same scoring however it yields different scoring as shown above.  
> Further inspection on the explaining i found  
> out that the different is in the queryWeight-\>idf and fieldWeight-\>idf  
> fields :
> 
> 1. 
> - "value": 15.598923,\*
> 
> - 
> 
> ```
> "description": "idf(docFreq=2, maxDocs=6566786)"*
> 
> ```
> 
> _2)__"value": 15.088098,_
> 
> - 
> 
> ```
> "description": "idf(docFreq=4, maxDocs=6566786)"*
> 
> ```
> 
> I would like to know why the value is different and how this is being  
> computed and what is docFreq ? Also i would like to know what is  
> queryWeight as when i use wildcard and prefix query it only will computed  
> the score with queryWeight otherwise only fieldWeight.
> 
> I am using _&search\_type=dfs\_query\_then\_fetch&preference=\_primary_ in the  
> query.
> 
> And here is the gist for full result :  
> [prefix\_and\_wildcard\_scores.json · GitHub](https://gist.github.com/cheehoo/10439849)
> 
> Thanks.

--  
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---

<div class="post-metadata">

**Author:** ![cyrilforce](https://avatars.discourse-cdn.com/v4/letter/c/76d3ee/32.png) [@cyrilforce](https://discuss.elastic.co/u/cyrilforce)\
**Post date:** [April 11, 2014, 5:52am UTC](https://discuss.elastic.co/t/how-scoring-computed-in-wildcard-and-prefix-query/16944/3 "2014-04-11T05:52:59Z")

</div>

Thanks Dan.

How about queryWeight ? It only computed when using wildcard or prefix.  
Also when you say " The term '_Hap_penings' appears four times in your index"  
is regardless on which field right ?

Thanks

On Fri, Apr 11, 2014 at 1:25 PM, Dan Tuffery [dan.tuffery@gmail.com](mailto:dan.tuffery@gmail.com) wrote:

> The scoring is computed using the Lucene scoring:
> 
> [Similarity (Lucene 3.6.2 API)](https://lucene.apache.org/core/3_6_2/api/all/org/apache/lucene/search/Similarity.html)
> 
> the _idf_ is the inverse document frequency, which gives a higher score  
> to the rarer terms in the index. The term '_Hap_penings' appears four  
> times in your index, the term 'Happier' in appears twice your index  
> therefore it has a higher score for idf.
> 
> Dan
> 
> On Friday, April 11, 2014 4:45:58 AM UTC+1, cyrilforce wrote:
> 
> > Hi,
> > 
> > I have a question on how the scoring being computed on the following  
> > query :
> > 
> > {  
> > "from" : 0,  
> > "size" : 60,  
> > "explain" : true,  
> > "track\_scores" : true,  
> > "query" : {  
> > "bool" : {  
> > "should" : [  
> > { "prefix": { "DISPLAY\_NAME" : { "value" : "_hap_",  
> > "rewrite" : "top\_terms\_10", "boost" : "3.0" }}},  
> > { "prefix": {"PERFORMER" :{ "value" : "_hap_" }}}
> > 
> > ```
> > ]
> > }
> > 
> > ```
> > 
> > }  
> > }
> > 
> > and it produces result :
> > 
> > 1. 
> > 
> > "DISPLAY\_NAME": "_Happier?_",  
> > , "\_explanation": {  
> > "value": _2.7100196_,  
> > "description": "product of:",  
> > "details": [  
> > {  
> > "value": 5.420039,  
> > "description": "sum of:",  
> > "details": [  
> > {  
> > "value": 5.420039,  
> > "description": "sum of:",  
> > "details": [  
> > {  
> > "value": 5.420039,  
> > "description":  
> > "weight(DISPLAY\_NAME:happier^3.0 in 32661) [PerFieldSimilarity], result  
> > of:",  
> > "details": [  
> > {  
> > "value": 5.420039,  
> > "description":  
> > "score(doc=32661,freq=1.0 = termFreq=1.0\n), product of:",  
> > "details": [  
> > {  
> > "value":  
> > 0.34746242,
> > 
> > "description": "queryWeight, product of:",  
> > "details": [  
> > {
> > 
> > "value": 3,
> > 
> > "description": "boost"  
> > },  
> > {  
> > \*  
> > "value": 15.598923,\*  
> > \*  
> > "description": "idf(docFreq=2, maxDocs=6566786)"\*  
> > },  
> > {  
> > \*  
> > "value": 0.0074249236,\*  
> > \*  
> > "description": "queryNorm"\*  
> > }  
> > ]  
> > },  
> > {  
> > "value":  
> > 15.598923,
> > 
> > "description": "fieldWeight in 32661, product of:",  
> > "details": [  
> > {
> > 
> > "value": 1,
> > 
> > "description": "tf(freq=1.0), with freq of:",
> > 
> > "details": [  
> > {
> > 
> > "value": 1,
> > 
> > "description": "termFreq=1.0"  
> > }  
> > ]  
> > },  
> > {  
> > \*  
> > "value": 15.598923,\*  
> > \*  
> > "description": "idf(docFreq=2, maxDocs=6566786)"\*  
> > },  
> > {
> > 
> > "value": 1,
> > 
> > "description": "fieldNorm(doc=32661)"  
> > }  
> > ]  
> > }  
> > ]  
> > }  
> > ]  
> > }  
> > ]  
> > }  
> > ]  
> > },  
> > {  
> > "value": 0.5,  
> > "description": "coord(1/2)"  
> > }
> > 
> > 1. 
> > 
> > "DISPLAY\_NAME": _"Hap_penings",  
> > ,  
> > "\_explanation": {  
> > "value": _2.5354335_,  
> > "description": "product of:",  
> > "details": [  
> > {  
> > "value": 5.070867,  
> > "description": "sum of:",  
> > "details": [  
> > {  
> > "value": 5.070867,  
> > "description": "sum of:",  
> > "details": [  
> > {  
> > "value": 5.070867,  
> > "description":  
> > "weight(DISPLAY\_NAME:happenings^3.0 in 23093) [PerFieldSimilarity],  
> > result of:",  
> > "details": [  
> > {  
> > "value": 5.070867,  
> > "description":  
> > "score(doc=23093,freq=1.0 = termFreq=1.0\n), product of:",  
> > "details": [  
> > {  
> > "value":  
> > 0.33608392,
> > 
> > "description": "_queryWeight_, product of:",  
> > "details": [  
> > {
> > 
> > "value": 3,
> > 
> > "description": "boost"  
> > },  
> > {  
> > _"value":  
> > 15.088098,_  
> > \*  
> > "description": "idf(docFreq=4, maxDocs=6566786)"\*  
> > },  
> > {  
> > \*  
> > "value": 0.0074249236,\*  
> > \*  
> > "description": "queryNorm"\*  
> > }  
> > ]  
> > },  
> > {  
> > "value":  
> > 15.088098,
> > 
> > "description": "\*fieldWeight \*in 23093, product of:",  
> > "details": [  
> > {
> > 
> > "value": 1,
> > 
> > "description": "tf(freq=1.0), with freq of:",
> > 
> > "details": [  
> > {
> > 
> > "value": 1,
> > 
> > "description": "termFreq=1.0"  
> > }  
> > ]  
> > },  
> > {  
> > \*  
> > "value": 15.088098,\*  
> > \*  
> > "description": "idf(docFreq=4, maxDocs=6566786)"\*  
> > },  
> > {
> > 
> > "value": 1,
> > 
> > "description": "fieldNorm(doc=23093)"  
> > }  
> > ]  
> > }  
> > ]  
> > }  
> > ]  
> > }  
> > ]  
> > }  
> > ]  
> > },  
> > {  
> > "value": 0.5,  
> > "description": "coord(1/2)"  
> > }  
> > ]  
> > }  
> > }
> > 
> > As both of the display name in the documents matched "_Hap_" it should  
> > have same scoring however it yields different scoring as shown above.  
> > Further inspection on the explaining i found  
> > out that the different is in the queryWeight-\>idf and fieldWeight-\>idf  
> > fields :
> > 
> > 1. 
> > - "value": 15.598923,\*
> > 
> > - 
> > 
> > ```
> > "description": "idf(docFreq=2, maxDocs=6566786)"*
> > 
> > ```
> > 
> > _2)__"value": 15.088098,_
> > 
> > - 
> > 
> > ```
> > "description": "idf(docFreq=4, maxDocs=6566786)"*
> > 
> > ```
> > 
> > I would like to know why the value is different and how this is being  
> > computed and what is docFreq ? Also i would like to know what is  
> > queryWeight as when i use wildcard and prefix query it only will computed  
> > the score with queryWeight otherwise only fieldWeight.
> > 
> > I am using _&search\_type=dfs\_query\_then\_fetch&preference=\_primary_ in  
> > the query.
> > 
> > And here is the gist for full result :  
> > [prefix\_and\_wildcard\_scores.json · GitHub](https://gist.github.com/cheehoo/10439849)
> > 
> > Thanks.
> > 
> > --  
> > You received this message because you are subscribed to a topic in the  
> > Google Groups "elasticsearch" group.  
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> > .
> 
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Regards,

Chee Hoo

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<div class="post-metadata">

**Author:** ![cyrilforce](https://avatars.discourse-cdn.com/v4/letter/c/76d3ee/32.png) [@cyrilforce](https://discuss.elastic.co/u/cyrilforce)\
**Post date:** [April 11, 2014, 6:09am UTC](https://discuss.elastic.co/t/how-scoring-computed-in-wildcard-and-prefix-query/16944/4 "2014-04-11T06:09:04Z")

</div>

Sorry one more point i would like to know. Is there anyway to disable  
rarity of the text (docFreq) yield higher scores ?

On Fri, Apr 11, 2014 at 1:52 PM, chee hoo lum [cheehoo84@gmail.com](mailto:cheehoo84@gmail.com) wrote:

> Thanks Dan.
> 
> How about queryWeight ? It only computed when using wildcard or prefix.  
> Also when you say " The term '_Hap_penings' appears four times in your  
> index" is regardless on which field right ?
> 
> Thanks
> 
> On Fri, Apr 11, 2014 at 1:25 PM, Dan Tuffery [dan.tuffery@gmail.com](mailto:dan.tuffery@gmail.com)wrote:
> 
> > The scoring is computed using the Lucene scoring:
> > 
> > [Similarity (Lucene 3.6.2 API)](https://lucene.apache.org/core/3_6_2/api/all/org/apache/lucene/search/Similarity.html)
> > 
> > the _idf_ is the inverse document frequency, which gives a higher score  
> > to the rarer terms in the index. The term '_Hap_penings' appears four  
> > times in your index, the term 'Happier' in appears twice your index  
> > therefore it has a higher score for idf.
> > 
> > Dan
> > 
> > On Friday, April 11, 2014 4:45:58 AM UTC+1, cyrilforce wrote:
> > 
> > > Hi,
> > > 
> > > I have a question on how the scoring being computed on the following  
> > > query :
> > > 
> > > {  
> > > "from" : 0,  
> > > "size" : 60,  
> > > "explain" : true,  
> > > "track\_scores" : true,  
> > > "query" : {  
> > > "bool" : {  
> > > "should" : [  
> > > { "prefix": { "DISPLAY\_NAME" : { "value" : "_hap_",  
> > > "rewrite" : "top\_terms\_10", "boost" : "3.0" }}},  
> > > { "prefix": {"PERFORMER" :{ "value" : "_hap_" }}}
> > > 
> > > ```
> > > ]
> > > }
> > > 
> > > ```
> > > 
> > > }  
> > > }
> > > 
> > > and it produces result :
> > > 
> > > 1. 
> > > 
> > > "DISPLAY\_NAME": "_Happier?_",  
> > > , "\_explanation": {  
> > > "value": _2.7100196_,  
> > > "description": "product of:",  
> > > "details": [  
> > > {  
> > > "value": 5.420039,  
> > > "description": "sum of:",  
> > > "details": [  
> > > {  
> > > "value": 5.420039,  
> > > "description": "sum of:",  
> > > "details": [  
> > > {  
> > > "value": 5.420039,  
> > > "description":  
> > > "weight(DISPLAY\_NAME:happier^3.0 in 32661) [PerFieldSimilarity], result  
> > > of:",  
> > > "details": [  
> > > {  
> > > "value": 5.420039,  
> > > "description":  
> > > "score(doc=32661,freq=1.0 = termFreq=1.0\n), product of:",  
> > > "details": [  
> > > {  
> > > "value":  
> > > 0.34746242,
> > > 
> > > "description": "queryWeight, product of:",  
> > > "details": [  
> > > {
> > > 
> > > "value": 3,
> > > 
> > > "description": "boost"  
> > > },  
> > > {  
> > > \*  
> > > "value": 15.598923,\*  
> > > \*  
> > > "description": "idf(docFreq=2, maxDocs=6566786)"\*  
> > > },  
> > > {  
> > > \*  
> > > "value": 0.0074249236,\*  
> > > \*  
> > > "description": "queryNorm"\*  
> > > }  
> > > ]  
> > > },  
> > > {  
> > > "value":  
> > > 15.598923,
> > > 
> > > "description": "fieldWeight in 32661, product of:",  
> > > "details": [  
> > > {
> > > 
> > > "value": 1,
> > > 
> > > "description": "tf(freq=1.0), with freq of:",
> > > 
> > > "details": [  
> > > {
> > > 
> > > ```
> > > "value": 1,
> > > 
> > > "description": "termFreq=1.0"
> > > }
> > > ]
> > > },
> > > {
> > > *
> > > 
> > > ```
> > > 
> > > "value": 15.598923,\*  
> > > \*  
> > > "description": "idf(docFreq=2, maxDocs=6566786)"\*  
> > > },  
> > > {
> > > 
> > > "value": 1,
> > > 
> > > "description": "fieldNorm(doc=32661)"  
> > > }  
> > > ]  
> > > }  
> > > ]  
> > > }  
> > > ]  
> > > }  
> > > ]  
> > > }  
> > > ]  
> > > },  
> > > {  
> > > "value": 0.5,  
> > > "description": "coord(1/2)"  
> > > }
> > > 
> > > 1. 
> > > 
> > > "DISPLAY\_NAME": _"Hap_penings",  
> > > ,  
> > > "\_explanation": {  
> > > "value": _2.5354335_,  
> > > "description": "product of:",  
> > > "details": [  
> > > {  
> > > "value": 5.070867,  
> > > "description": "sum of:",  
> > > "details": [  
> > > {  
> > > "value": 5.070867,  
> > > "description": "sum of:",  
> > > "details": [  
> > > {  
> > > "value": 5.070867,  
> > > "description":  
> > > "weight(DISPLAY\_NAME:happenings^3.0 in 23093) [PerFieldSimilarity],  
> > > result of:",  
> > > "details": [  
> > > {  
> > > "value": 5.070867,  
> > > "description":  
> > > "score(doc=23093,freq=1.0 = termFreq=1.0\n), product of:",  
> > > "details": [  
> > > {  
> > > "value":  
> > > 0.33608392,
> > > 
> > > "description": "_queryWeight_, product of:",  
> > > "details": [  
> > > {
> > > 
> > > "value": 3,
> > > 
> > > "description": "boost"  
> > > },  
> > > {  
> > > _"value":  
> > > 15.088098,_  
> > > \*  
> > > "description": "idf(docFreq=4, maxDocs=6566786)"\*  
> > > },  
> > > {  
> > > \*  
> > > "value": 0.0074249236,\*  
> > > \*  
> > > "description": "queryNorm"\*  
> > > }  
> > > ]  
> > > },  
> > > {  
> > > "value":  
> > > 15.088098,
> > > 
> > > "description": "\*fieldWeight \*in 23093, product of:",  
> > > "details": [  
> > > {
> > > 
> > > "value": 1,
> > > 
> > > "description": "tf(freq=1.0), with freq of:",
> > > 
> > > "details": [  
> > > {
> > > 
> > > ```
> > > "value": 1,
> > > 
> > > "description": "termFreq=1.0"
> > > }
> > > ]
> > > },
> > > {
> > > *
> > > 
> > > ```
> > > 
> > > "value": 15.088098,\*  
> > > \*  
> > > "description": "idf(docFreq=4, maxDocs=6566786)"\*  
> > > },  
> > > {
> > > 
> > > "value": 1,
> > > 
> > > "description": "fieldNorm(doc=23093)"  
> > > }  
> > > ]  
> > > }  
> > > ]  
> > > }  
> > > ]  
> > > }  
> > > ]  
> > > }  
> > > ]  
> > > },  
> > > {  
> > > "value": 0.5,  
> > > "description": "coord(1/2)"  
> > > }  
> > > ]  
> > > }  
> > > }
> > > 
> > > As both of the display name in the documents matched "_Hap_" it should  
> > > have same scoring however it yields different scoring as shown above.  
> > > Further inspection on the explaining i found  
> > > out that the different is in the queryWeight-\>idf and fieldWeight-\>idf  
> > > fields :
> > > 
> > > 1. 
> > > - "value": 15.598923,\*
> > > 
> > > - 
> > > 
> > > ```
> > > "description": "idf(docFreq=2, maxDocs=6566786)"*
> > > 
> > > ```
> > > 
> > > _2)__"value": 15.088098,_
> > > 
> > > - 
> > > 
> > > ```
> > > "description": "idf(docFreq=4, maxDocs=6566786)"*
> > > 
> > > ```
> > > 
> > > I would like to know why the value is different and how this is being  
> > > computed and what is docFreq ? Also i would like to know what is  
> > > queryWeight as when i use wildcard and prefix query it only will computed  
> > > the score with queryWeight otherwise only fieldWeight.
> > > 
> > > I am using _&search\_type=dfs\_query\_then\_fetch&preference=\_primary_ in  
> > > the query.
> > > 
> > > And here is the gist for full result :  
> > > [prefix\_and\_wildcard\_scores.json · GitHub](https://gist.github.com/cheehoo/10439849)
> > > 
> > > Thanks.
> > > 
> > > --  
> > > You received this message because you are subscribed to a topic in the  
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> > > .
> > 
> > For more options, visit [https://groups.google.com/d/optout](https://groups.google.com/d/optout).
> 
> --  
> Regards,
> 
> Chee Hoo

--  
Regards,

Chee Hoo

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<div class="post-metadata">

**Author:** ![system](https://us1.discourse-cdn.com/elastic/original/3X/1/a/1ac57faf039f6b580b3f104ef42a2a89e41014de.png) [@system](https://discuss.elastic.co/u/system)\
**Post date:** [July 6, 2017, 1:36am UTC](https://discuss.elastic.co/t/how-scoring-computed-in-wildcard-and-prefix-query/16944/5 "2017-07-06T01:36:36Z")

</div>