Tensorflow implementations of various Learning to Rank (LTR) algorithms.
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Updated
Jun 14, 2018 - Python
Tensorflow implementations of various Learning to Rank (LTR) algorithms.
train models in pytorch, Learn to Rank, Collaborative Filter, Heterogeneous Treatment Effect, Uplift Modeling, etc
Implementation of RankNet to LambdaRank in TensorFlow 2.0
Code repo of solution of 11th place in Recsys Challenge 2022
This module implements LambdaRank as a tensorflow OP in C++. As an example application, we use this OP as a loss function in our keras based deep ranking/recommendation engine. The ranking application embeds slide objects into d-dimensional space(slide2vec), such that we obtain best LambdaRank scores.
RocAuc Pairiwse objective for gradient boosting
ctr and rank model used by keras
Ranklib for .NET is an open source learning to rank library
Using NLP techniques (word and sentence embedding tools like SBERT and Learning-to-Rank systems like RankNet and LambdaRank) to rank candidates.
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