Using Laravel TNTSearch how can I define different cases for keywords to end up with the same result on query.
Having the following keyword Softwareentwickler I want to be able to get the same result on Software-Entwickler keyword as well.
Is there any workaround for this case?
The technique you want is called query expansion. What you have to do is simply replace the query with the one you want and perform the search.
Take a look at this
Here, when someone searches for Russia it will replace the query with russian federation
Related
I am in learning process of ElasticSearch and having hard time matching certain cases.
For example I have product name: "SkyProdigy 130" and I am trying to write a query that will match this product name when someone types "sky prodigy". Also, another example for the manufacturer "Magpul" I would like to be able to match even if someone type "mag pul", etc.
I have managed to make this work with fuzzy query, but I am looking for a more organic way to achieve this through analyzers and correct mappings.
Can someone recommend the best approach for this case?
We do understand the behavior of user by analyzing the tags he usually search for.
Now we need to give higher precedence for such tags for these users. I would like to know how we can achieve this using Elasticsearch in an elegant manner.
Well the best approach for this would be to
Analyse the behavior of the user
See which all keywords are of his interests
Maintain one document per user in another index which have all these keywords.
On the searches for that user , boost the occurrence of these keywords using function_score query
You can use terms filter inside boost function to achieve this.Add the boost function under functions in the function score query
In terms filter , you can point to this users document and get the values dynamically
Use custom filter key so that the cache key constructed wont eat too much memory
In this approach , you can avoid lots of code paths in client code.
I am attempting to create a query to exactly match on a few fields, such as account_id and from_addresses (which is an array), while also fuzzy matching on another field such as message_content. What is the best way to do this?
I have tried a Bool query with a few must and should parameters but can't seem to get it working.
I believe what you want to do it to use Filters. More specifically, an AND filter. So your query message_content, but filter by account_id and from_addresses.
I don't know which library you are using, so I can't really provide any code examples.
I'm integrating elasticsearch into an asset tracking application. When I setup the mapping initially, I envisioned the 'brand' field being a single-term field like 'Hitachi', or 'Ford'. Instead, I'm finding that the brand field in the actual data contains multiple terms like: "MB 7 A/B", "B-7" or even "Brush Bull BB72X".
I have an autocomplete component setup now that I configured to do autocomplete against an edgeNGram field, and perform the actual search against an nGram field. It's completely useless the way I set it up because users expect the search results to be restricted to what the autocomplete matches.
Any suggestions on the best way to setup my mapping to support autocomplete and subsequent searches against a multiple term field like this? I'm considering a terms query against a keyword field, or possibly a match query with 'and' as the operator? I also have to deal with hyphens like "B-7".
you can use phrase suggest, the guide is here:
http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/search-suggesters.html
the phrase suggest guide is here:
http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/search-suggesters-phrase.html
I've got an Entity model (in Mongoid) that I'm trying to search on its keywords field which is an array. I want to do a query where I pass in an array of potential search terms, and any entity that matches any of the terms will pass.
I don't have this working well yet.
But, why I'm asking this question, is that it's more complex. I also DONT want to return any entities that have been marked as "do not return" which I do via a "ignore_project_ids" parameter.
So, when I query, I get 0 results. I was using Bonsai.io. But, I've moved this to my own EC2 instance to reduce complexity/variables on solving the problem.
So, what am I doing wrong? Here are the relevant bits of code.
https://gist.github.com/3405763
You want a terms query rather than a term query - a term query is only interested in equality, whereas a terms query requires that the field match any of the specified values.
Given that you don't seem to care about the query score (you're sorting by another attribute), you'll get faster queries by using a filtered query and expressing your conditions as filters