Alternatives and similar repositories for NISE:

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

• EzailShen / WWW-22-DIHN
  [WWW'22] Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced Recommendation
  ☆22Updated 2 years ago
• RecFlow-ICLR / RecFlow
  ☆39Updated 5 months ago
• gaohaining / MLoRA
  ☆18Updated 7 months ago
• cl4ctr / cl4ctr
  The code of CL4CTR
  ☆48Updated last year
• zzhin / CCFCRec
  ☆23Updated last year
• alipay / aes_msl_mtl
  ☆19Updated 2 years ago
• SkylerLinn / Understanding-the-Ranking-Loss
  ☆41Updated 2 months ago
• Applied-Machine-Learning-Lab / M3oE
  Code for SIGIR 2024 paper: M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework
  ☆32Updated 6 months ago
• LiangcaiSu / STEM
  [AAAI 2024] The open source code for "STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation".
  ☆48Updated 7 months ago
• salesforce / ICLRec
  ☆99Updated 2 years ago
• oywtece / gme
  Graph Meta Embedding (GME) for cold-start ads in CTR/CVR prediction
  ☆36Updated 3 years ago
• fajieyuan / SIGIR2021_Conure
  Pre-training and Lifelong learning for User Embedding and Recommender System
  ☆44Updated 11 months ago
• RUCAIBox / EulerNet
  This is the official PyTorch implementation for the paper: "EulerNet: Adaptive Feature Interaction Learning via Euler’s Formula for CTR P…
  ☆26Updated 7 months ago
• hamedrab / wsdm22_cup_xmrec
  WSDM 2022 CUP - Cross-Market Recommendation - Starter Kit
  ☆24Updated 3 years ago
• wangjiachun0426 / StackRec
  ☆24Updated 3 years ago
• weiyinwei / CLCRec
  Contrastive Learning for Cold-start Recommendation
  ☆66Updated 3 years ago
• jerryhao66 / Pretrain-Recsys
  ☆34Updated 4 years ago
• CRIPAC-DIG / GraphCTR
  This repo includes some graph-based CTR prediction models and other representative baselines.
  ☆64Updated 10 months ago
• DongRuiHust / CL4CVR
  Contrastive Learning for Conversion Rate Prediction
  ☆24Updated last year
• dongmanqing / Code-for-MAMO
  The code for paper MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation
  ☆53Updated 4 years ago
• LiangjunFeng / MAIL
  ☆18Updated 3 years ago
• Tokkiu / REMI
  ☆37Updated last year
• alibaba / tgin
  ☆29Updated 3 years ago
• tsinghua-fib-lab / CLSR
  The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)
  ☆74Updated 2 years ago
• Applied-Machine-Learning-Lab / PLATE
  implementation code for 'PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations' in SIGIR 2023
  ☆14Updated 5 months ago
• morningsky / Torch-RecHub
  A Lighting Pytorch Framework for Recommendation System, Easy-to-use and Easy-to-extend.
  ☆82Updated 2 years ago
• racp-submission / racp
  ☆15Updated 3 years ago
• opdai / wsdm2022-xmrec-top1-solution
  ☆24Updated 3 years ago
• Thinkgamer / Attentive-Group-Recommendation
  Attentive Group Recommendation
  ☆9Updated 4 years ago
• WenjieWWJ / DenoisingRec
  Adaptive Denoising Training (ADT) for Recommendation.
  ☆70Updated 3 years ago