Hi Alessandro,
Thanks for replying!
Here are my answers inline.
1. "First of all, simple string autosuggestion or document autosuggestion ?
(
with more additional field to show then the label)
Document autosuggestions
2. Are you interested in the analysis for the text to suggest ? Fuzzy
s
Hi Alessandro,
Thanks for replying!
Here are my answers inline.
On Mon, Apr 4, 2016 at 6:34 PM, Alessandro Benedetti
wrote:
> Hi Chandan,
> I will answer as my previous answer to a similar topic that got lost :
> "First of all, simple string autosuggestion or document autosuggestion ? (
> w
Hi Chandan,
I will answer as my previous answer to a similar topic that got lost :
"First of all, simple string autosuggestion or document autosuggestion ? (
with more additional field to show then the label)
Are you interested in the analysis for the text to suggest ? Fuzzy
suggestions ? exact "be
There is a payload attribute but I'm not sure if this can be used for such
use case. Lets wait for others contributors to confirm.
Similar question posted here:
http://stackoverflow.com/questions/32434186/solr-suggestion-with-multiple-payloads
.
If its just a category that you need then the work a
Hi All,
I've similar query regarding autosuggestion. My use case is as below:
1. User enters product name (say Nokia)
2. I want suggestions along with the category with which the product
belongs. (e.g Nokia belongs to "electronics" and "mobile" category) so I
want suggestion like Nokia in electro
Hi Mugeesh, autocompletion world is not that simple as you would expect.
Which kind of auto suggestion are you interested in ?
First of all, simple string autosuggestion or document autosuggestion ? (
with more additional field to show then the label)
Are you interested in the analysis for the tex
Solr AnalyzingInfix suggester component:
https://lucidworks.com/blog/2015/03/04/solr-suggester/
On Mon, Mar 28, 2016 at 7:57 PM, Mugeesh Husain wrote:
> Hi,
>
> I am looking for the best way to implement autosuggestion in ecommerce
> using solr or elasticsearch.
>
> I guess using ngram analyze