search for: listmle

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

...ing Feature selection for 'Learning to Rank' > algorithms > To: "Hang Li (MSR)" <hangli at microsoft.com>, Rishabh Mehrotra < > erishabh at gmail.com> > > > In my opinion, features definitely play an important role in learning to > rank. Combining ListMLE with deep learning sounds interesting. We are eager > to see the performance of your implementation. **** > > ** ** > > Thanks**** > > Tie-Yan**** > > ** ** > > *From:* Hang Li (MSR) > *Sent:* 2012?4?1? 10:33 > *To:* Rishabh Mehrotra > *Cc:* Tie-Yan Liu &gt...

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

...ing 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 these two algorithms*. *Therefore I want to know what should be course of action for this?*) - Implementing Rank aggregator....

Hello, My name is Prakhar Pratyush. I am a 4th year Electronics & Communication engineering undergraduate student at Indian Institute of Technology (IIT) Roorkee. My primary areas of Interest are machine learning, and Information Security and I am proficient in C++/Python/JavaScript programming languages as well. I was looking into the past gsoc organizations, and I came across Xapian. I

Hi Rishabh, As per our last progress meeting, I am off for some days and as now its the time to mid-term evaluation, it would be better to generate a progress report. For that, you should first commit the code as it is and then write 2 to 3 page summary explaining the deliverables so far and then the future plan. Tomorrow is the last day, so better by tomorrow morning, send this across and by

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 so which you plan to implement. You should take the corresponding definitions from the letor_internal.cc and create the corresponding .cc files. Feel free to do necessary changes and in...

Hi everyone, My name is Shreedhar Pawar. I have already introduced myself on Xapian-discuss... I feel that the Xapian Search/Letor Algorithm, can speed up using Parallel computing. Techniques like Map-reduce, 'compact n split', radix sort, scan, parallel hashing n much more can be used to speed up the learning algorithms as well as the search... support vector machines in the Letor

...It needed some refactoring in order to incorporate more algorithms and was done by Rishabh and available in his git repo (https://github.com/rishabhmehrotra/xapian) but is still not merged. So, I assume I should think of additions to the code in Rishbh's repo. Moreover, I noticed that SVM-rank, ListMLE and ListNet is already present in the code. I am interested in addition of a random forest approach and looking for appropriate libraries. I would be great to get input by the Xapian community in terms of preference of algorithms and open source libraries. It would also be great to know the priorit...

Hello, I am Mudit Raj Gupta, fourth year student of M.S. (Hons.) Chemistry and B.E. (Hons.) Electronics and Instrumentation at BITS-Pilani ( http://www.bits-pilani.ac.in/). I am interested in *Machine Learning and Computaional Intelligence*. I have an interest in implementing various existing algorithms and developing modified/new algorithms related to machine learning and computational

Dear all, My name is Hanxiao Sun and I am a master student in the University of Chinese Academy of Sciences. I am so glad to be selected by Xapian as the GSoC student. This is my first time to work with open source community. I hope I can do a good job with you in this summer ! In my proposal, I followed the scope of the LTR project on the ideas page. But, after the interview, it seems to need

...bining the above two points, I suggest an approach which uses features learnt from data in an unsupervised fashion "*in addition to*" the commonly used features. *Please note:* all this is in addition to the traditional features and finally we would be using *listwise/pairwise approaches*[ListMLE, et cetera] to train our models on the new set of features. Please let me know if this sounds good. *Doubt2:* *Rank Aggregation:* Now that Xappian will have >1 Learning to rank algorithms, we should look into some kind of rank aggregation as well: combining outputs by various algorithms to get...

...raining part basically uses the libsvm library and training data to train a model, then save the model file. The ranking part will calculate score for each document in searching results (MSet) by using the trained model file. My question is for each of our three rankers: 1) SVMRanker 2) ListMLE 3) ListNet, do we need three different types of training part? (The ranking part for each of those have the same form I think) I?m not sure the parameters for these three different rankers are the same or not (I guess they?re different). In my understanding, the letor.cc basically just...

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