wrote:
In a relevancy problem I would repeat what my colleagues already
pointed
out :
Data is key. We need to understand first of all our data before we
can
understand what is relevant and what is not.
Once we specify a groundfloor which make sense ( and your basic
approach
+
proper schema configuration as suggested + properly configured
request
handler , seems a good start to me ) .
At this point if you are still not happy with the relevancy (i.e.
you are
not happy with the different boosts you assigned ) my strongest
suggestion
at this time is to move to machine learning.
You need a good amount of data to feed the learner and make it
your Super
Business Expert) .
I have been recently working with the Learn To Rank Bloomberg
Plugin [1]
.
In my opinion will be key for all the business that have many
features
in
the game, that can help to evaluate a proper ranking.
For that you need to be able to collect and process signals, and
you need
to carefully tune the features of your interest.
But the results could be surprising .
[1] https://issues.apache.org/jira/browse/SOLR-8542
[2] Learning to Rank in Solr <
https://www.youtube.com/watch?v=M7BKwJoh96s>
Cheers
On Thu, Mar 17, 2016 at 10:15 AM, Robert Brown <r...@intelcompute.com>
wrote:
Thanks Scott and John,
As luck would have it I've got a PhD graduate coming for an
interview
today, who just happened to do her research thesis on information
retrieval
with quantum theory and machine learning :)
John, it sounds like you're describing my system! Shopping products
from
multiple sources. (De-duplication is going to be fun soon).
I already copy fields like merchant, brand, category, to string
fields
to
use them as facets/filters. I was contemplating removing the
description
due to the spammy issue you mentioned, I didn't know about the
RemoveDuplicatesTokenFilterFactory, so I'm sure that's going to be a
huge
help.
Thanks a lot,
Rob
On 03/17/2016 10:01 AM, John Smith wrote:
Hi,
For once I might be of some help: I've had a similar configuration
(large set of products from various sources). It's very
difficult to
find the right balance between all parameters and requires a lot of
tweaking, most often in the dark unfortunately.
What I've found is that omitNorms=true is a real breakthrough:
without
it results tend to favor small texts, which is not what's wanted
for
product names. I also added a RemoveDuplicatesTokenFilterFactory
for
the
name as it's a common practice for spammers to repeat some key
words in
order to be better placed in results. Stemming and custom stop
words
(e.g. "cheap", "sale", ...) are other potential ideas.
I've also ended up in removing the description field as it's
often too
broad, and name is now the only field left: brand, category and
merchant
(as well as other fields) are offered as additional filters using
facets. Note that you'd have to re-index them as plain strings.
It's more difficult to achieve but popularity boost can also be
useful:
you can measure it by sales or by number of clicks. I use a
combination
of both, and store those values using partial updates.
Hope it helps,
John
On 17/03/16 09:36, Robert Brown wrote:
Hi,
I currently have an index of ~50m docs representing shopping
products:
name, description, brand, category, etc.
Our "qf" is currently setup as:
name^5
brand^2
category^3
merchant^2
description^1
mm: 100%
ps: 5
I'm getting complaints from the business concerning relevancy,
and was
hoping to get some constructive ideas/thoughts on whether these
boosts
look semi-sensible or not, I think they were put in place
pretty much
at random.
I know it's going to be a case of rounds upon rounds of
testing, but
maybe there's a good starting point that will save me some time?
My initial thoughts right now are to actually just search on
the name
field, and maybe the brand (for things like "Apple Ipod").
Has anyone got a similar setup that could share some direction?
Many Thanks,
Rob
--
--------------------------
Benedetti Alessandro
Visiting card : http://about.me/alessandro_benedetti
"Tyger, tyger burning bright
In the forests of the night,
What immortal hand or eye
Could frame thy fearful symmetry?"
William Blake - Songs of Experience -1794 England
