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 -- You received this message because you are subscribed to the Google Groups "elasticsearch" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/elasticsearch/0e2827b2-5a21-4cff-b773-ebdd861c5972%40googlegroups.com. For more options, visit https://groups.google.com/groups/opt_out.
