Alternatives and similar repositories for dismember:

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

• tttwwy / sim
  ☆63Updated 4 years ago
• qqxiaochongqq / DFN
  Deep Feedback Network for Recommendation
  ☆94Updated 4 years ago
• qinjr / UBR4CTR
  UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.
  ☆79Updated 3 years ago
• gusuperstar / defer
  ☆51Updated 3 years ago
• easezyc / MetaHeac
  This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertisin…
  ☆56Updated 3 years ago
• guyulongcs / CIKM2020_DMT
  Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020
  ☆113Updated 4 years ago
• Feiyang / MetaEmbedding
  Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"
  ☆99Updated 5 years ago
• yahoo / FmFM
  ☆40Updated 4 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…
  ☆103Updated 3 years ago
• oywtece / minet
  MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction
  ☆76Updated 3 years ago
• alicogintel / SDM
  Sequential deep matching model for recommender system at Alibaba
  ☆204Updated 4 years ago
• oywtece / deepmcp
  Deep Matching, Correlation and Prediction (DeepMCP) Model
  ☆125Updated 4 years ago
• A-bone1 / ESAM
  Code for the paper "ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance" (SIGIR2020)
  ☆58Updated 4 years ago
• THUIR / PreHash
  ☆61Updated 9 months ago
• xidongbo / AITM
  TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling th…
  ☆112Updated last year
• LibRerank-Community / LibRerank
  LibRerank is a toolkit for re-ranking algorithms. There are a number of re-ranking algorithms, such as PRM, DLCM, GSF, miDNN, SetRank, EG…
  ☆246Updated 3 years ago
• rank2rec / rerank
  ☆81Updated 6 years ago
• motefly / MVKE
  SIGKDD'2022: Mixture of Virtual-Kernel Experts for Multi-Objective User Profile Modeling
  ☆44Updated last year
• ThyrixYang / es_dfm
  Implementation and experimental comparison of ES-DFM (Yang et al. 2021), Delayed feedback model(DFM, Chapelle 2014), Feedback Shift Impor…
  ☆77Updated last year
• zyhfjx2019 / drr
  code for the paper "Personalized Re-ranking for E-commerce Recommender Systems"
  ☆30Updated 3 years ago
• yinsn / ParaDance
  Offers a toolset for comprehensive, multi-faceted large-scale data analysis and optimizations
  ☆50Updated 2 months ago
• xuanjixiao / onerec
  在常规推荐系统算法和系统双优化的范式下，一线公司针对单个任务或单个业务的效果挖掘几乎达到极限。从2019年我们开始关注多种信息的萃取融合，提出了OneRec算法，希望通过平台或外部各种各样的信息来进行知识集成，打破数据孤岛，极大扩充推荐的“Extra World Knowl…
  ☆125Updated this week
• stellaxu / DHAN
  DHAN code for SIGIR 2020
  ☆46Updated 4 years ago
• gy910210 / exact-k-recommendation
  Code for paper 'Exact-K Recommendation via Maximal Clique Optimization'
  ☆79Updated 5 years ago
• CAN-Paper / Co-Action-Network
  Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction
  ☆218Updated 3 years ago
• laming-chen / fast-map-dpp
  Fast Greedy MAP Inference for DPP
  ☆125Updated 4 years ago
• 99731 / M2GRL
  A demo code of KDD2020 paper "M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems"
  ☆97Updated 4 years ago
• WayneDW / DeepLight_Deep-Lightweight-Feature-Interactions
  Accelerating Inference for Recommendation Systems (WSDM'21)
  ☆113Updated 4 years ago
• SkylerLinn / Understanding-the-Ranking-Loss
  ☆47Updated 4 months ago
• zhuchenxv / AutoFIS
  AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction
  ☆184Updated 3 years ago