Hi,
Thanks, i'm not quite sure how to do that. I'm using:
http://localhost:9200/lists/list/[id of
list]/_mlt?mlt_field=product_id&min_term_freq=1&min_doc_freq=1
the body does not seem to be respected (i'm using the elasticsearch head
plugin) if i ad:
{
"explain": true
}
i've been trying to rewrite the mlt api as an mlt query but no luck so far.
Any suggestions?
Thanks,
Maarten
Op woensdag 8 januari 2014 16:14:25 UTC+1 schreef Justin Treher:
>
> Hey Maarten,
>
> I would use the "explain":true option to see just why your documents are
> being scored higher than others. MoreLikeThis using the same fulltext
> scoring as far as I know, so term position would affect score.
>
>
> http://lucene.apache.org/core/3_0_3/api/contrib-queries/org/apache/lucene/search/similar/MoreLikeThis.html
>
> Justin
>
> On Wednesday, January 8, 2014 3:04:47 AM UTC-5, Maarten Roosendaal wrote:
>>
>> Hi,
>>
>> I have a question about why the 'more like this' algorithm scores
>> documents higher than others, while they are (at first glance) the same.
>>
>> What i've done is index wishlist-documents which contain 1 property:
>> product_id, this property contains an array of product_id's (e.g. [1234,
>> 4444, 5555, 6666]. What i'm trying to do is find similair wishlist for a
>> given wishlist with id x. The MLT API seems to work, it returns other
>> documents which contain at least 1 of the product_id's from the original
>> list.
>>
>> But what is see is that, for example. i get 10 hits, the first 6 hits
>> contain the same (and only 1) product_id, this product_id is present in the
>> original wishlist. What i would expect is that the score of the first 6 is
>> the same. However what i see is that only the first 2 have the same, the
>> next 2 a lower score and the next 2 even lower. Why is this?
>>
>> Also, i'm trying to write the MLT API as an MLT query, but somehow it
>> doesn't work. I would expect that i need to take the entire content of the
>> original product_id property and feed is as input for the 'like_text'. The
>> documentation is not very clear and doesn't provide examples so i'm a
>> little lost.
>>
>> Hope someone can give some pointers.
>>
>> Thanks,
>> Maarten
>>
>
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