-
Notifications
You must be signed in to change notification settings - Fork 25.2k
MoreLikeThis API: Search documents that are "like" the specified document #45
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Comments
MoreLikeThis API: Search documents that are "like" the specified document, closed by 8b36281. |
dadoonet
added a commit
that referenced
this issue
Jun 5, 2015
johtani
added a commit
that referenced
this issue
Jun 5, 2015
* can use a predefined "_japanese_" stop words * can not use other predefined stop words * upgrade to lucene 5 * add ja_stop to README Closes #45
rmuir
pushed a commit
to rmuir/elasticsearch
that referenced
this issue
Nov 8, 2015
Based on PR elastic#45, we add a new language detection option using Language detection feature available in Tika: https://tika.apache.org/1.4/detection.html#Language_Detection By default, language detection is disabled (`false`) as it could come with a cost. This default value can be changed by setting the `index.mapping.attachment.detect_language` setting. It can also be provided on a per document indexed using the `_detect_language` parameter. Closes elastic#45. Closes elastic#44.
njlawton
pushed a commit
to njlawton/elasticsearch
that referenced
this issue
Mar 15, 2017
Update Coordination.md
ClaudioMFreitas
pushed a commit
to ClaudioMFreitas/elasticsearch-1
that referenced
this issue
Nov 12, 2019
Fix Debian-8 for systemd
henningandersen
pushed a commit
to henningandersen/elasticsearch
that referenced
this issue
Jun 4, 2020
With this commit we correct the bulk size to *not* take the action-and-metadata line into account for the bulk size calculation. This problem has been introduced in 863d532. Relates elastic#45
This issue was closed.
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
URI is: {index}/{type}/{id}/_moreLikeThis
Method: GET and POST
It translates into a search request with an mlt query (using the mlt query DSL). All mlt parameters are extracted from the http parameters.
The body of the request can optionally include the typical search request body (facets, from, size, ...).
The text was updated successfully, but these errors were encountered: