similar to: Custom weight factors - pushing the relevancy ranking how we want it

Hello guys, I have an weight value which is calculated by some factor and i need to add the weight with the relevancy value of a result and sort it with that value is that possible in xapian. Thanks, VishnuKumar -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.xapian.org/pipermail/xapian-devel/attachments/20130302/9831e287/attachment-0001.html>

Hi, I know this is the wrong forum for this kind of question and is only ephemerally related to xapian, but maybe someone here knows and will save me some digging. Given a google PR of, say, .15 for page A of site x.com, does google "radiate" any of that PR goodness onto any other pages of site x.com? Irrespective of whether page A links to any other pages in site x.com. In other

Hello all, I am Mohd Azeem. I want to contribute in Xapian but I am a newbie here. I wonder if anyone could help me in getting started with Xapian. I have some basic knowledge of IR and implemented TF*IDF and PageRank schemes, and also implemented Inverted Index and Web-Crawler. regards, Azeem -------------- next part -------------- An HTML attachment was scrubbed... URL:

Hi there, I'm having trouble to compile the R + C/C++ codes for this project from Yahoo folks on latent factor models: https://github.com/yahoo/Latent-Factor-Models#readme After downloading the package from the site, I could not successfully *make* the files. Here is the message: ====================================================================================== sh-4.1$ make R CMD

I am using aaf and things are working fine. I''m just curious to find out if the results are returned in the order of relevancy of the search term. I am thinking of getting the ids and further processing those ids and returning the result in a different order. Then it struck me what if the results are in the order of relevancy. Based on the answer to the question I''ll

I was wondering if there was a good way to either balance the relevancy score with recentness of matching documents- or include the recentness in the score somehow? Thanks, Ben -- Posted via http://www.ruby-forum.com/.

One other mod to Ferret I''ve found useful is to add the following line at the top of the each_hit() block in Search::IndexSearcher.search: score = yield( doc, score ) if block_given? This allows a block attached to a search call to adjust document scores before documents are sorted, based on some (possibly dynamic) numerical factors associated with the document, e.g. the number

Hi, I am Abhishek Currently Xapian::Weight follows BM25 scheme, many models such as the Divergence from Randomness (DfR) family of models, Unigram Language Model and the Bi-gram Language Model implemented two years ago in GSoc 2012 yet not merged to the master. The new weighing schemes or improvement in implementing the previous models to change the default scheme of BM25 from SMART with

Dear RSYNCians, I'm trying to rsync my labtop pc (let's assume A-computer) with my desktop pc (let's assume C-computer) through our firewall. In between there is one computer (let's assume B-computer) that has an open port, so I theoretically could connect via a tunnel. I checked the SSH- website and internet and so on but did not find an answer that works. I tried the

Your website''s ranking on search engines is a vital element of your overall marketing campaign, and there are ways to improve your link popularity through legitimate methods. Unfortunately, the Internet is populated by bands of dishonest webmasters seeking to improve their link popularity by faking out search engines. The good news is that search engines have figured this out, and are

Hey Everyone, Im fresh new in R, and Im supposed to write a code to give me a correlation between two rankings. So I have two ranking lists, which contain file names, e.g.: Ranking list 1: file1.java file3.java file2.java Ranking list 2: fiile2.java file4.java file1.java I need to see how much are these two ranking lists are alike, get a correlation between them. I dont even know where to

I have a small matrix where the columns represents a ranking and the values are the number of times each ranking was obtained eg 1 2 3 x 1 2 0 y 0 1 2 z 2 0 1 I'd like to be able to return an average of the ranking obtained average x 1.67 y 2.67 z 1.67 Whats the nicest way to do this? I'm new to the language and looking for an elegant solution :) Thanks Ben

Hi all, I am a biostatistician and I have developed my own ranking system for clinical data. I would like to test the efficiency of it w.r.t. to other ranking systems. I would like to simulate the data and after assigning ranks to my observed scores(after neglecting dropouts), observe the type I error. If I want to do a Kruuskal Wallis type of test, what test statistic should I use to test for a

Hi Is there some function R that multiplies each coefficient by the standard deviation of the corresponding variable and produces a ranking? Stephen -- No virus found in this outgoing message. Checked by AVG Anti-Virus. [[alternative HTML version deleted]]

Here's a more general question following up on the specific question I asked earlier: Can anybody recommend an R command other than mle.aic() (from the wle package) that will give back a ranked list of submodels? It seems like a pretty basic piece of functionality, but the closest I've been able to find is stepAIC(), which as far as I can tell only gives back the best submodel, not a

Congratulations to each and every member of the CentOS Folding at home team for helping to break through the 250 ranking barrier. This means that we're now in the top 250 of the world! Well done to each and every one of you :) The netx target of 200 will be harder, but achievable. Keep on with the good work of crunching those work units, the team benefits with the team ranking, and

Kevin Burton has posted about poor ranking in Lucene preferring shorter documents over longer ones[1]. A similar search in Xapian returns documents in the expected order: Performing query `Xapian::Query(foo)' 3 results found ID 3 99% [foo foo foo] ID 2 94% [foo foo] ID 1 80% [foo] Anyone know what Lucene is doing here? Their FAQ doesn't mention what weighting scheme they use, and I

I'm trying to run the generalized least square approach for my 2-additive problem, unfortunately this error appeared. I have tried to figure out the error from the mailing list but couldn't find the solution. Any help is highly appreciated. This is my source code: >a1 <- c(76.18, 61.84, 60.4, 69.09) > a2 <- c(51.01, 50.39, 87.62, 52.03) > a3 <- c(80.08, 48.49, 90.86,

> > > 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

Dear R-users, is a library available to estimate partial ranking models? Best, Ruud