Pairwise Learning to Rank #194
Open
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
We want to contribute to MeTA by implementing Pairwise Learning to Rank.
This contribution implements pairwise learning to rank with binary classifiers. The ranker here mainly follows the Stochastic Pairwise Descent algorithm based on D. Sculley's paper on 'Large Scale Learning to Rank'.
Considering the project architecture, we implemented a new class in pairwise_letor.h in include/meta/learn/learntorank/. The implementation of this class is in src/learn/learntorank/pairwise_letor.cpp.
An example of how to use this class can be found in src/learn/tools/pairwise_letor_main.cpp
Authors: Mihika Dave, Anthony Huang, Rachneet Kaur