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From Jan Høydahl / Cominvent <jan....@cominvent.com>
Subject Re: Auto Suggest
Date Fri, 03 Sep 2010 08:24:44 GMT
Are you phrasing the query, like &q="app mou" ?
I guess with edgeNgram you use KeywordTokenizer which stores phrases as single terms.

--
Jan Høydahl, search solution architect
Cominvent AS - www.cominvent.com
Training in Europe - www.solrtraining.com

On 2. sep. 2010, at 14.53, Jason Rutherglen wrote:

> I'm having a different issue with the EdgeNGram technique described
> here: http://www.lucidimagination.com/blog/2009/09/08/auto-suggest-from-popular-queries-using-edgengrams/
> 
> That is one word queries q=app on the query_text field, work fine
> however "q=app mou" do not.  Why would this be or is there a
> configuration that could be missing?
> 
> On Wed, Sep 1, 2010 at 3:53 PM, Eric Grobler <impalaherd@googlemail.com> wrote:
>> Thanks for your feedback Robert,
>> 
>> I will try that and see how Solr performs on my data - I think I will create
>> a field that contains only important key/product terms from the text.
>> 
>> Regards
>> Johan
>> 
>> On Wed, Sep 1, 2010 at 9:12 PM, Robert Petersen <robertpe@buy.com> wrote:
>> 
>>> We don't have that many, just a hundred thousand, and solr response
>>> times (since the index's docs are small and not complex) are logged as
>>> typically 1 ms if not 0 ms.  It's funny but sometimes it is so fast no
>>> milliseconds have elapsed.  Incredible if you ask me...  :)
>>> 
>>> Once you get SOLR to consider the whole phrase as just one big term, the
>>> wildcard is very fast.
>>> 
>>> -----Original Message-----
>>> From: Eric Grobler [mailto:impalaherd@googlemail.com]
>>> Sent: Wednesday, September 01, 2010 12:35 PM
>>> To: solr-user@lucene.apache.org
>>> Subject: Re: Auto Suggest
>>> 
>>> Hi Robert,
>>> 
>>> Interesting approach, how many documents do you have in Solr?
>>> I have about 2 million and I just wonder if it might be a bit slow.
>>> 
>>> Regards
>>> Johan
>>> 
>>> On Wed, Sep 1, 2010 at 7:38 PM, Robert Petersen <robertpe@buy.com>
>>> wrote:
>>> 
>>>> I do this by replacing the spaces with a '%' in a separate search
>>> field
>>>> which is not parsed nor tokenized and then you can wildcard across the
>>>> whole phrase like you want and the spaces don't mess you up.  Just
>>> store
>>>> the original phrase with spaces in a separate field for returning to
>>> the
>>>> front end for display.
>>>> 
>>>> -----Original Message-----
>>>> From: Jazz Globe [mailto:jazzglobe@hotmail.com]
>>>> Sent: Wednesday, September 01, 2010 7:33 AM
>>>> To: solr-user@lucene.apache.org
>>>> Subject: Auto Suggest
>>>> 
>>>> 
>>>> Hallo
>>>> 
>>>> How would one implement a multiple term auto-suggest feature in Solr
>>>> that is filter sensitive?
>>>> For example, a user enters :
>>>> "mp3"
>>>>  and solr might suggest:
>>>>  ->   "mp3 player"
>>>>  ->   "mp3 nano"
>>>>  ->   "mp3 sony"
>>>> and then the user starts the second word :
>>>> "mp3 n"
>>>> and that narrows it down to:
>>>>  -> "mp3 nano"
>>>> 
>>>> I had a quick look at the Terms Component.
>>>> I suppose it just returns term totals for the entire index and cannot
>>> be
>>>> used with a filter or query?
>>>> 
>>>> Thanks
>>>> Johan
>>>> 
>>>> 
>>>> 
>>> 
>> 


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