GSoC 2017: Letor Click Data Mining
vivekpal.dtu at gmail.com
Fri Mar 24 02:18:17 GMT 2017
> Yes, but you need to then _use_ letor in displaying omega results.
> Otherwise you've just trained the model.
Okay, I got your point. Thanks.
Now, after all the discussion I have a pretty clear understanding of
different parts of this project and I can see how the possible workflow
would look like. I can proceed to writing my proposal now. I'll get it into
the GSoC system as soon as it's ready to get some helpful feedback from
you and Olly on how to improve it further. I realise I'm running a few days
> There may be, but that's really a different project. If you find anything
> that sounds promising, maybe add it for possible follow-up; I suspect
> there's more than enough for a summer project already.
There are really just click models with different level of complexities that
I've encountered so far in the papers that I read.
One thing that could be set as a stretch goal is that once we have one click
model in place and working this summer, we can then add different variants
of it or may be even some of the more recent ones. That way, people can
have more than one click model to choose from depending upon their needs
just like there are different weighting schemes to choose from in xapian-core.
On Fri, Mar 24, 2017 at 4:02 AM, James Aylett <james at tartarus.org> wrote:
> On 23 Mar 2017, at 06:18, Vivek Pal <vivekpal.dtu at gmail.com> wrote:
> [existing omega logging]
>> So, as I understand it, we'll need some more info
>> to be logged than this to be able to train click models for relevance judgements.
>>> and you'll need a way to use letor from omega, or you'll have trained a
>>> model for no good reason :)
>> Sorry, I may have misunderstood you here but why would we need a way to use
>> letor from omega? For training Letor module, wouldn't we just need two files
>> i.e. Query and Qrel as mentioned in the xapian-letor docs? Letor API can then
>> generate the final training file using those two files.
> Yes, but you need to then _use_ letor in displaying omega results. Otherwise you've just trained the model.
>> Is there a better way to mine the relevance judgements than click models?
> There may be, but that's really a different project. If you find anything that sounds promising, maybe add it for possible follow-up; I suspect there's more than enough for a summer project already.
> James Aylett
> devfort.com — spacelog.org — tartarus.org/james/
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