Hi, your request looks fine.
The value in the 'text' parameter should be the actual text you want to use
to find similar documents. You have min term frequency set to 10, which
means there will only be a match if the term "title" appears in a document
at least 10 times. Also you haven't set the minDocFreq parameters so it
defaults to 5, which means the term "title" must be present in at least 5
documents. Are you sure you have documents that have the term "title" in at
least 10 times, and appears in at least 5 documents? Try decreasing the
minTermFreq and minDocFreq parameter and experiment with the value in the
text field.
I have found inquisitor very useful for testing queries:
So in this case
On Monday, June 17, 2013 4:07:58 PM UTC+1, Chang Zhang wrote:
Hello.
I've tried to use MoreLikeThisRequestBuilder with Java API and there was
always no hit, the code as follows:
MoreLikeThisRequestBuilder mlt = new
MoreLikeThisRequestBuilder(client, "aaa", "bbb", "1");
mlt.setField("title");
SearchResponse response =
client.moreLikeThis(mlt.request()).actionGet();
and I searches your solution, that is using MoreLikeThisQueryBuilder. but
It doesn't work, either. My codes are:
MoreLikeThisQueryBuilder query =
QueryBuilders.moreLikeThisQuery();
query.boost(1.0f).likeText("title").minTermFreq(10);
SearchResponse searchResponse =
client.prepareSearch("aaa").setTypes("bbb")
.setQuery(query)
.execute()
.actionGet();
is there something wrong with the searchResponse part? could you give me
some suggestions?
Thanks in advance!
Am Dienstag, 4. Juni 2013 10:34:15 UTC+2 schrieb es newbie:
Thanks Vineeth.
I got it working in the end. I changed the implementation to use a
MoreLikeThisQueryBuilder instead.
On Tuesday, June 4, 2013 2:37:35 AM UTC+1, Vineeth Mohan wrote:
How many documents are there in the index ?
Try
.minTermFreq(0)
.minDocFreq(0))
On Tue, Jun 4, 2013 at 1:58 AM, es newbie dan.t...@gmail.com wrote:
I'm trying to get the MLT feature working via the Java API, here is my
request:
SearchResponse searchResponse =
client.moreLikeThis(moreLikeThisRequest(index).type(type)
.id(1)
.fields("text")
.minTermFreq(1)
.minDocFreq(1))
.actionGet();
I've made sure that document 1 and other documents in the index contain
the word "chicago" in the text field, but it is always returning zero hits.
The 'text' field is indexed and has "term_vectors:true"
Am I missing something here?
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