Hi Johan,
I've already saw this suggestion, but it's not really useful for me, since
in the index there are various document with different types. For example,
I have users, but also I have venues and events, last two had only name,
while user could have two names.
In general I am trying to build an autosuggest feature on a site and when
you start typing 'Joh' the suggestions will be first users starting with
'Joh', but there could be some venues starting with 'Joh' string as well,
so as much you type, the more concrete results you will have, but I am also
reading about suggesters, and probably I will implement a solution which
will be more like Google autosuggest rather displaying the first few
results of the search itself.
I've seen also text scoring in scriptshttp://www.elasticsearch.org/guide/en/elasticsearch/reference/master/modules-advanced-scripting.html which
could be a solution as well.
I just wanted to ask if there is something like common way of score the
position of the term in a field, but obviously there is no such way. 
Thanks for the help
On Thursday, January 23, 2014 9:36:47 AM UTC, Johan Rask wrote:
Hi again,
Can you explain more what you are trying to accomplish?
I "think" that the only way you can solve this is to split into multiple
fields and
then boost individual fields in your query. Not sure if thats possible for
you.
/Johan
Den torsdagen den 23:e januari 2014 kl. 09:44:02 UTC+1 skrev Nikolay
Chankov:
Hi Johan,
thanks for the reply
I would agree that it's ok, if I am searching for common term, like
'venue', 'club' or 'bar', but when it comes to User names, it make sense to
score the position in the field too, because when you search in field
user.name, and type 'Jo' you would expect first to see users with first
name Joe, Johan, John, rather than having users with Jo in the family.
And especially when you search for user name field you don't expect to
have more occurrence of the name in that field.
On Wednesday, January 22, 2014 9:30:19 PM UTC, Johan Rask wrote:
Lucene will calculate you score based on a scoring formula. I am pretty
sure that the location of the word is not part of this formula but rather
how common the
word is in your sentence. I.e multiple occurences of 'venue' should
increase scoring and adding other words to your sentence should decrease
the scoring.
Hope this helps, I am pretty sure there is detailed info about this in
the lucene docs.
Kind regards /Johan
Den onsdagen den 22:e januari 2014 kl. 13:10:00 UTC+1 skrev Nikolay
Chankov:
I am playing with elasticsearch so far, and i noticed something:
If I search for a word in a string, the _score is equal no matter where
is placed the word. Here I have prepared a test case:
curl -XDELETE 'http://localhost:9200/test_search'
curl -XPUT 'http://localhost:9200/test_search/' -d '
{
"mappings" : {
"test_record" : {
"properties" : {
"name" : {
"type" : "string"
}
}
}
}
}'
curl -XPUT 'http://localhost:9200/test_search/test_record/1' -d '{
"name" : "is the name Venue of that one"
}'
curl -XPUT 'http://localhost:9200/test_search/test_record/2' -d '{
"name" : "is the name of that one Venue"
}'
curl -XPUT 'http://localhost:9200/test_search/test_record/3' -d '{
"name" : "Venue is the name of that one"
}'
curl -XGET 'http://localhost:9200/test_search/_search' -d '{
"query": {
"bool": {
"must": ,
"must_not": ,
"should": [
{
"query_string" : {
"default_field": "_all",
"query" : "venue"
}
}
]
}
},
"from": 0,
"size": 10
}'
The question is: how to have different score based on the position of
the word 'venue' in the test. When I search I would expect results to be
ordered 3,1,2 while now they are as they are inserted ,1,2,3.
Any hint will be much appreciated
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