Hi Ted,
Each documents to be indexed by Solr has fairly large content in it and
100+ users searching within it(once the solr search tool goes live).
Kindly guide me on the integration steps for mahout with Solr(with respect
all the stats mentioned).
Thanks and Regards,
Arun
On 2 April 2017 at 1
Arun,
That's good news.
The second limitation will be how much data you have for each document and
whehter you have a good measure of how engaged users are with documents.
On Sat, Apr 1, 2017 at 6:48 PM, arun abraham
wrote:
> Hi Ted,
>
> Thanks for the reply.
>
> I understood Ted,to have a
Hi Ted,
Thanks for the reply.
I understood Ted,to have a good effective results a larger set of
documents/index is required.
For all the Solr related functionalities and Search,I used ~100 docs(path
pointing to my local system) to index and set things up.This is only for
testing and implementin
On Sat, Apr 1, 2017 at 6:21 PM, arun abraham
wrote:
> As a first step I am trying to recommend min of two documents(As my
> Solr document index is ~100 docs).
>
This is kind of weird.
Can you say why you have so very few documents?
There may be something special going on that will make this w
Hi,
Thanks Pat for the reply.
I am trying to implement item based recommendation as the first step.When
the user searches with a keyword(using Solr),not only it should return
keyword matching results(already implemented along with other search
features of Solr) but also related documents(recommen
You want to create “Behavioral Search”? This is where you boost items that have
the search terms in them more likely to be favored by the individual user?
You want to use the CCO algorithm in Mahout. You need to collect behavioral
information like conversions, detailed page views, etc. Run each
