similar to: Xapian and GSoC 2014

Hey guys, I had introduced myself earlier on IRC. I talked to Parth and had a brief chat with Olly, but just to re-iterate I'm Tejas Nikumbh, and I'm interested in contributing to Xapian for GSoC this year. I'm specifically interested in letor and weighing schemes projects. I've been able to build xapian on my machine without any errors via the Guidelines on the Hacking

Hi, I am Tejas Nikumbh, an undergrad at Indian Institute of Technology Bombay. I will be participating in GSoC this year. [GSoC 2013]. In order to imporve my chances for getting selected this year, I would like to start contributing early on to Open Source development via xapian. Here's a little background info : *Languages proficient in : *Java, Python, Javascript [+jQuery] , HTML[+HTML5

Hello guys.As discussed on IRC,I have sent a pull request for a test for testing TradWeight with an Rset. On Fri, Mar 1, 2013 at 5:30 PM, <xapian-devel-request at lists.xapian.org>wrote: > Send Xapian-devel mailing list submissions to > xapian-devel at lists.xapian.org > > To subscribe or unsubscribe via the World Wide Web, visit >

As Olly has already pointed out the 2012 branch is not merged. I think there are some compilation errors in the branch. The code in branch is better refactored. The Ranker and FeatureManager classes are well defined and implemented. Parth. On Wed, Sep 25, 2013 at 9:02 AM, Olly Betts <olly at survex.com> wrote: > On Tue, Sep 24, 2013 at 08:34:10PM +0800, jiangwen jiang wrote: >

Hello Rishabh, As per our previous discussion, we will talk each week now about the project. Please update the timeline/todo/journal accordingly so that we can check the status on this saturday for this week. Please remember that this half of the programme is smaller and hence we would need to be very punctual about the goals. Regards, Parth. -------------- next part -------------- An HTML

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 Parth, I?ve implemented SVMRanker class and also sorted out most of current Letor APIs. Now I?m trying to use INEX dataset to verify my implement. But I stuck in the indexing part. You said in the documentation that we have to add prefix when indexing. Also I notice that you set some metadata in omindex.cc of your version. But the omindex.cc has changed since 2011. I think that?s why my result

Thanks for your reply! For the third question: In https://inex.mmci.uni-saarland.de/data/documentcollection.jsp, I can find inex2010-article.qrels in 2010 assessment, but can?t find query files. Could you send me the link? I have registered on INEX website. And I also need to download ``INEX 2009 collection without annotation tags: (unofficial)`` on

Hello Rishabh, The attached diff file should help you to refactor the existing letor code and plug in your code easily. I have defined the header files with the necessary flow. I have also specified the ranker class, which should be implemented by a new LTR models, ListNet and ListMLE in your case. The evaluation file should be used for validating the performance of the algorithm in the training

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

On Tue, Mar 11, 2014 at 03:20:31PM +0100, Parth Gupta wrote: > > > > On current trunk, we index the title with prefix "S" by default in > > omindex, though with a wdf inc of 5 rather than 1: > > > > indexer.index_text(title, 5, "S"); > > > > So I don't think you need that change to omindex now. > > Yes, but please

HI, Parth: Thanks for your reply. There's xapian-letor folder in current master trunk, is this code merged in 2011? the letor code of 2012 is not merged to the trunk? Regards 2013/9/23 Parth Gupta <pargup8 at gmail.com> > Dear Jiangwen Jiang, > > The current state of the project can be reached from the repo: > http://trac.xapian.org/wiki/GSoC2012/LTR > > I would

After experiencing these symptoms through many of the release candidates, we've been at v1.0.0 now for a few weeks, and they're still there. Perhaps a config issue with my setup (mbox locks?). It's really too disrupting to continue using this way. I've included symptoms, client info, mta info, log entries and config file. What other information can I provide? Please

Dear Sir, I am Pankaj Singhal from Jaipur, India. I am very much interested and strongly looking forward in getting involved in this project Learning-to-Rank. My previous experience in this field is good. Last semester I did a similar job of ranking the URLs of the given huge dataset based on their attribute values. The dataset consisted hundreds of thousands of URLs and each url

Hello James, Parth, Following our discussion on IRC and on code review, the way FeatureVector class works needs some discussion. Presently, the FeatureVector class is defined as follows, with a fixed number of feature count (19): class FeatureVector::Internal : public Xapian::Internal::intrusive_base{ friend class FeatureVector; double label; double score;

Hello, I wanted to decide the dataset that should be used for Letor stabilisation project. I think 2009 INEX Wikipedia Collection <http://www.mpi-inf.mpg.de/departments/databases-and-information-systems/software/inex/> should work fine. It's a collection of 2,666,190 XML articles, 115 topics <http://inex.mmci.uni-saarland.de/protected/adhoc/2009-topics.zip>, 50,275 qrel

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

Hi Olly, Wouldn't setting the weight of terms in title back to normal (e.g. 5 to 1) by below line, automatically adjust the wdfs and field lengths? indexer.index_text(title, 5, "S"); -> indexer.index_text(title, 1, "S"); if it does not then we should include that part in the patch too. I like to create a patch for xapian-letor for resolving common code of xapian.

Hi Rishabh, I took some time out in the recent days to work on the refactoring. And now it looks like I have included all the files necessary for the complete code. I am sure if it will be quite easy for you now to start with the new code. I would like you to complete it by implementing (copy/paste/little modification) some of the methods. https://github.com/parthg/xapian To make it easier,

Hi, I have several questions regarding the letor module,I looked at the framework of learning to rank in xapian http://rishabhmehrotra.com/gsoc/17.png, I am a little confused. Why using deep learning to find unsupervised features in test data? Since in my understanding, learning to rank model usually learn features from the training data then apply the model to the test data? Why test set and