similar to: GSOC Proposal

Hi, Now that the clickstream logging PR (#161) is close to getting merged I'm starting to move onto the next step i.e. the implementation of DBN click model for which I think it'd be best to discuss the approach that I intend to take and the classes required. I'm thinking of starting with the implementation of a base class Model to enable the implementation of DBN click model as its

Hi James, > Isn't this from the query template, ie from the main web page of search > results? (It might make sense from opensearch as well, though.) Yes, you are right; it is the query template. The reason I said opensearch template is that I haven't quite read all sections of the Omega docs and I'm still in the process. Thanks for pointing that out. I'm aiming to cover

Hi all, While building from git with xapian-letor not ignored in bootstrap, I am getting the following make error: In function `main': /home/ayush/Desktop/xapian/xapian-letor/bin/xapian-letor-update.cc:98: undefined reference to `Xapian::Internal::str(unsigned int)' /home/ayush/Desktop/xapian/xapian-letor/bin/xapian-letor-update.cc:99: undefined reference to

Hello, I applied to letor stabilisation project for gsoc. I'd like to use coming weeks to improve the workability of xapian-letor. For that, I'm planning to refactor code in current master and begin writing some tests for it. Before adding tests, I think it would be better if xapian-letor could be made consistent with how xapian-core is written. For that, I'd first like to

Hi Rishabh, I think its better not to expose RankiList to Letor.h and make it better user friendly. So my suggestion is to convert RankList to the following statement in this method. std::map<Xapian::docid, double> letor_score(const Xapian::MSet & mset); So just convert the RankList in std::map<Xapian::docid, double> format in the methods where you need to return. Parth. On

1.Could you explain why are these libraries included in all the xapian-letor headers? #include<xapian/intrusive_ptr.h> #include<xapian/types.h> #include<xapian/visibility.h> Or just provide me with the documentation of these header. I looked into these header files but couldn't anything substantial. 2.

> You could do that by identifying the search session instead of the user, > which makes it closer to what we need than to something that might trip you > into privacy concerns. Okay, that would be much better. :) > Third records some information about what sort of query it is — add, > morelike or a plain query. Last provides the estimated match size and then > the HTTP

Just to add on top of what Olly has already mentioned. > > Now, I'm reading the resources provided on ideas' page. Do you have > > any other suggestions of knowing more about the letor? > > And I'd like to test the function of letor. But I can't find code > > example. Can u give me some suggestions? > > Hopefully Parth can help here. > In order

Hi, I am Jiarong Wei (irc: VcamX). I?m a 3rd year computer science student at Zhejiang University, China. I?m very willing to contribute to Xapian as part of GSoC 2014. Now I?m at Simon Fraser University, Canada, as an exchange student. I?ll go back to China on the end of April. I think it doesn?t matter I?ll change the time zone :) From the list of project?s ideas, Learning to Rank interests me

Hi I am on Debian verson 7.7, GCC 4.7.2 and make 3.8.1. I cloned the code : git clone https://github.com/v-hasu/xapian git checkout gsoc2014-evaluation rm xapian-letor/nobootstrap ./bootstrap ./configure --no-documentation make CXXFLAGS='-w' and I get a different set of errors --- ranker.cc: In member function 'std::string Xapian::Ranker::get_cwd()': ranker.cc:80:36: error:

Hello, I'm Ayush from New Delhi, India. I am interested in Letor Stabilisation project for GSoC. I have a good background in machine learning. Sorry for getting in so late, university exams were holding me back. I'll try to cover as much as I can in the coming week. I am following the plan of attack suggested on the project page. Following are the things that I have completed: 1.

Hi~ Manu I was glad to see you were interested in Xapian, especially the learning to rank project. There are two branch in my repo. The one named gsoc2014 is followed the thought of Parth's work in which we not assign the test set for each ranking and in another one gsoc2014-evaluation we assign the training set and test set explicitly so that we can get the evaluation score of each ranking

Hi everyone, My name is Shreedhar Pawar. I have already introduced myself on Xapian-discuss... I feel that the Xapian Search/Letor Algorithm, can speed up using Parallel computing. Techniques like Map-reduce, 'compact n split', radix sort, scan, parallel hashing n much more can be used to speed up the learning algorithms as well as the search... support vector machines in the Letor

Hi, Sorry for the long hiatus. I was caught with some other deadlines. Could some one tell me some specific expectations from Letor for GSOC 2015? I am currently trying out some learning algorithm implementations but need some help with it. Can Parth, James and others related to LETOR please tell me the IRC availability for the next few days. Regards Karthik On Wed, Oct 22, 2014 at 3:39 AM,

I use Ubuntu12.04, GNU Make 3.81 and I am not sure if I use some special configure options. The commands I use after clone the repo are as follows: cd xapian ./bootstarp ./configure make cd xapian-letor aclocal -I ../xapian-core/m4 libtoolize --force autoconf autoheader automake --add-missing ./configure make Is this normal? 2014-12-07 22:37 GMT+08:00 James Aylett <james-xapian at

> > > > The approach I was thinking would look something like this: > > * instead of Features, which is really a namespace implemented as a > class, we separate out the calculation of the different features > into distinct subclasses of Feature, whose only job is to calculate > a single feature. Currently the FeatureManager calls these (via >

For unsupervised approaches like BM25 this approach works well but letor does not need special weighting for title in this form as it itself assigns weights to title features separately. But I see your concern it would be a problem when BM25 is used on the index with this setup. Hence its preferable to take a note of this uplift in title weight for xapian-letor and normalize it everywhere

Hi, I am unable to build the letor module. I am generating the configure file using autoconf. The configure file generated is throwing the error ./configure: line 2057: syntax error near unexpected token `1.10.1' ./configure: line 2057: `AM_INIT_AUTOMAKE(1.10.1 -Wportability tar-ustar)` I am not too sure what to do with this. Need help with this. Thank You Regards Karthik On Mon, Sep 29,

Hi, Before starting my proposal, I wanted to know what is the expected output of Letor module. Is it for transfer learning (i.e you learn from one dataset and leverage it to predict the rankings of other dataset) or is it for supervised learning? For instance - Xapian currently powers the Gmane search which is by default based on BM25 weighting scheme and now suppose we want to use LETOR to rank

Hi all, Thank you for giving me the opportunity to work with Xapian :) I am Jiarong Wei, a third year undergraduate student in Zhejiang University, China. In GSoC 2014, I will work on Letor module with Hanxiao Sun. Here are some questions I encountered these days, 1. In letor.cc, we have two parts of functions: the training part and the ranking part. I?ll use SVMRanker as an example. The