similar to: Access to Datasets for Learning to Rank

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

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

Hello All, This time we are working on a weighting scheme "Learning to Rank" which involves machine learning and its a supervised ranking scheme unlike unsupervised schemes like BM25 under GSoC project. This mail intends to discuss the framework of the Learning to Rank in Xapian as a whole. I have thought of the following framework, pour in your insights or issues for the same. This is

> > > I'd prefer to avoid adding things to the public API that don't get > used by end users. However because LTR is outside the Xapian build > tree, we can't easily give it privileged access to Xapian internals. > Sorry for a delayed response. The way I was thinking of performing reranking with updated weights was to add a class MSetRanker (basically containing a

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 Everyone, I am looking forward to contribute to Xapian and also apply as a Google Summer of Code student. I would like to start by introducing myself. I am a final year M.Sc.(H) Chemistry and B.E. (H) Electronics and Instrumentation student at BITS - Pilani, Goa. I am interested in Machine Learning and presently pursuing my thesis on the same. I have been selected for Google Summer of Code

Hi, Wanted to know if other normalization techniques like normalization by standard-deviation have been tried to normalize the Feature-list in Letor. Regards, Ayush Pandey.

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.

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 Vijay, > I am Vijay Mahantesh SM from India. I am an open > source enthusiast and a big fan of computational mathematics and research. > I came across the idea list of mentioned in the link<http://trac.xapian.org/wiki/GSoCProjectIdeas> and > was fascinated to find projects of my passion. As per my understanding of > the project, this project requires a good

Hello, I would like to work with Orange as part of GSoC 2012(and continue henceforth). Apologies for joining in a bit late- i was waiting to get a proper grasp of things before discussing it here. Currently I am a Masters students in Mathematics with my bachelors in Computer Science[integrated dual degree]. Over the last year and a half, I have worked on a few ML projects and have a couple of

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

Hello, Please find attached the patch which contains new features for the LETOR framework which increases the total features from 19 to 37. In my proposal I had mentioned of having a final count of 44 IR specific features apart from those learnt by unsupervised feature learning part via Deep Learning. So I am left with 7 out of those 44,of which 6 I will be implementing within the next 2

I am interested in the project 'Learning to Rank Click Data Mining', and here is my current understanding about this project: 1. where can we get your click data. we can extend the omega to supports log the user's search and clicked documents 2. the specific click data information and format. Based on some paper and public query dataset format(AOL search query logs[1] and Sogou

> > > > 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 >

Hi, guys: I found this project idea http://trac.xapian.org/wiki/GSoCProjectIdeas#Project:LearningtoRank If it is need to be improved, I will try to handle it thanks Regards -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.xapian.org/pipermail/xapian-devel/attachments/20130923/d0ced0d6/attachment-0002.html>

Hi all, I was trying to generate lcov test coverage reports for xapian-core but got an out of memory error: $ lcov --capture --directory . --output-file xapian-core.info Capturing coverage data from . Found gcov version: 4.7.3 Scanning . for .gcda files ... Found 270 data files in . Processing bin/xapian-progsrv.gcda Out of memory! These are the steps I followed in xapian-core directory

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 everyone, I have completed introducing some code from v-hasu's branch into mine, mainly for Features, FeatureVector and FeatureManager classes. I have pushed the changes to https://github.com/ayshtmr/xapian/tree/letor-update. I am now proceeding to write unit tests for feature modules. There are a few things that I wanted to clarify: 1. I have introduced a lot of code in a single

Hi, Please give your feedbacks in the Google doc -> https://docs.google.com/document/d/1wrbkD3OlhrmJZnrgcNyQrISwcQdTX2uJ9WDWiuO87g4/edit?usp=sharing . Regards, Ayush Pandey. On Sun, Mar 26, 2017 at 6:57 PM, Ayush Pandey < f2012714 at goa.bits-pilani.ac.in> wrote: > Hi, > I have submitted a draft proposal on the GSoC website but I also > wanted to share my draft