search for: ndcg

...39;m using R.app's built-in documentation viewer. I don't get the same error when I look at the docs for built-in functions, e.g. '?cos' works fine. Most of the .Rd files spit out by Roxygen are very simple, e.g. here's one that fails to be viewed, it has only 4 lines: in man/ndcg.Rd: \name{ndcg} \alias{ndcg} \title{ndcg} \usage{ndcg(pr, position=5, ...)} Anyone have any thoughts? Here's my R.version: _ platform i386-apple-darwin9.8.0 arch i386 os darwin9.8.0 system i386, darwin9.8.0 status major 2 minor...

Dose R have a function to calculate NDCG? http://en.wikipedia.org/wiki/Discounted_cumulative_gain#Normalized_DCG Thanks!

...pi-inf.mpg.de/departments/d5/software/inex/ . 2. I wanted to know how automated testing would be implemented. Will there be test cases like a test query must match this particular N results and this particular ranking. Or will it be in terms of evaluation of the IR algorithm something like MAP and NDCG score must >= a particular value? 3. When are you available at IRC? It's easier to communicate through IRC (atleast for me). This question is rather just because I was curious. Is there nothing like K-fold validation in Learning to Rank? -------------- next part -------------- An HTML atta...

...asets of different distributions. So how are we going to use it? PROPOSAL- 1.Sorting out Letor API will include - - Implementing SVMRanker and checking its evaluation results against the already generated values. - Implementing evaluation methods. Those methods will include MAP and NDCG. (*Is there any other method in particular that can be implemented other than these two?*) - Check the performance of ListMLE and ListNet against SVMRanker.(*Considering both ListMLE and ListNet has been implemented correctly but we don't have any tested performance measurement of...

...metric.cc, there is no implementations of functions, I don't know if they have been implemented somewhere in the module(as far as I read through the source code, I didn't see any). For the tests, are there any benchmark tests on SVM based or listnet models on sample datasets and what the NDCG or MAP scores of them ( I didn't see any measure methods have been implemented in the current module)? And how about the cross validation for the training set? Is there any method included in the current project? For SVM method, I found letor_learn_model() has been commented out, but I didn...

...epts clear about the algorithms, so i should end up choosing the most suitable one. I am sure your input would be fruitful for me in effectively drafting my proposal. The listnet looks like computationally more complex compared to ranknet. So , is there any big advantage (in terms of improvement in ndcg/map) to move to listnet AND the optimization suggested in the paper to look for top one seems too simple. What will be the impact on accuracy and is there any way to speed up /optimize listnet? For adarank i didnt understand how is it superior compared to linear regression?? I was also trying to se...

...atency reduces to ~20-40 ms (table V of [2]), while improving the effectiveness. This involves modifying the code of 1) and implementing the LC clustering algorithm. LC can be added as an algorithm in xapian-core/cluster. 3) Evaluation: The evaluation metric widely used in literature are alpha-NDCG [4] and ERR-IA [5]. These are also among the metrics used by the main paper [2], thus allowing for direct comparison with the author's results. The data set corpus used in the literature the most is ClueWeb09 with queries from TREC 2009/2010 diversification task. The problem is that both these...