search for: tyliu

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2012 Apr 01
1
[GSoC2012] Learning to Rank: few thoughts/issues
...en intensively studied, this is not the case for feature selection, despite of its importance. In a paper presented at SIGIR'07 [Tier1 in IR domain], the authors have highlighted the effectiveness of feature selection methods for ranking tasks.[link<http://research.microsoft.com/en-us/people/tyliu/fsr.pdf>] I believe that apart from the traditional/cliched IR features, we should*incorporate new features * to improve the performance of the LETOR module. *Using unlabeled data:* Over the last 3-4 years a lot of papers have identified the importance of using unlabeled data to assist the task...
2012 Mar 24
3
Learning to rank
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