Alternatives and similar repositories for Ranking_Papers

Users that are interested in Ranking_Papers are comparing it to the libraries listed below

• ULTR-Community / ULTRA
  Unbiased Learning To Rank Algorithms (ULTRA)
  ☆291Updated 2 years ago
• p768lwy3 / torecsys
  ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) pr…
  ☆106Updated 3 years ago
• acbull / Unbiased_LambdaMart
  Code for WWW'19 "Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm", which is based on LightGBM
  ☆224Updated 6 years ago
• rosetta-ai / rosetta_recsys2019
  The 4th Place Solution to the 2019 ACM Recsys Challenge by Team RosettaAI
  ☆58Updated 5 years ago
• WayneDW / DeepLight_Deep-Lightweight-Feature-Interactions
  Accelerating Inference for Recommendation Systems (WSDM'21)
  ☆112Updated 4 years ago
• rank2rec / rerank
  ☆82Updated 6 years ago
• QingyaoAi / Unbiased-Learning-to-Rank-with-Unbiased-Propensity-Estimation
  This is an implementation of the Dual Learning Algorithm with multi-layer feed-forward neural network for online unbiased learning to ran…
  ☆89Updated 2 years ago
• labdac / Meta-Prod2Vec
  Repository for experiments with MetaProd2Vec and related algorithms.
  ☆59Updated 6 years ago
• lezzago / LambdaMart
  Python implementation of LambdaMart
  ☆186Updated 4 years ago
• logicai-io / recsys2019
  ☆94Updated 2 years ago
• ULTR-Community / ULTRA_pytorch
  Unbiased Learning To Rank Algorithms (ULTRA)
  ☆94Updated 2 years ago
• andreweskeclarke / learning-rank-public
  Learning Rank
  ☆78Updated 8 years ago
• eggie5 / RankNet
  Learning to Rank from Pair-wise data
  ☆57Updated 6 years ago
• Leavingseason / rnn_recsys
  Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"
  ☆140Updated 6 years ago
• lpworld / PURS
  ☆46Updated 4 years ago
• layer6ai-labs / DropoutNet
  Code for the NeurIPS'17 paper "DropoutNet: Addressing Cold Start in Recommender Systems"
  ☆179Updated last year
• mjugo / StreamingRec
  A news recommendation evaluation framework
  ☆43Updated 7 years ago
• msnews / MIND
  Microsoft News Dataset
  ☆122Updated 5 years ago
• mquad / sars_tutorial
  Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018
  ☆344Updated 4 years ago
• airalcorn2 / RankNet
  My (slightly modified) Keras implementation of RankNet and PyTorch implementation of LambdaRank.
  ☆248Updated 6 years ago
• mottalrd / learning-to-rank
  Experiments on how to use machine learning to rank a product catalog
  ☆83Updated 8 years ago
• amoussawi / recoder
  Large scale training of factorization models for Collaborative Filtering with PyTorch
  ☆56Updated 2 years ago
• MengtingWan / chainRec
  Mengting Wan, Julian McAuley, "Item Recommendation on Monotonic Behavior Chains", in Proc. of 2018 ACM Conference on Recommender Systems …
  ☆56Updated 11 months ago
• makgyver / rectorch
  rectorch is a pytorch-based framework for state-of-the-art top-N recommendation
  ☆150Updated 4 years ago
• WHUIR / PARL
  The implementation of "PARL: Let Strangers Speak Out What You Like", Libing Wu, Cong Quan, Chenliang Li, Donghong Ji, https://doi.org/10.…
  ☆21Updated 3 years ago
• Hirosora / LightCTR
  LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.
  ☆103Updated 2 years ago
• liyinxiao / LambdaRankNN
  LambdaRank Neural Network model using Keras.
  ☆86Updated 6 years ago
• haowei01 / pytorch-examples
  train models in pytorch, Learn to Rank, Collaborative Filter, Heterogeneous Treatment Effect, Uplift Modeling, etc
  ☆184Updated 3 weeks ago
• RandolphVI / Next-Basket-Recommendation
  About Next Basket Recommendations Based on Neural Network.
  ☆48Updated 5 years ago
• ChenglongChen / tensorflow-LTR
  Tensorflow implementations of various Learning to Rank (LTR) algorithms.
  ☆230Updated 7 years ago