Alternatives and similar repositories for tbsm:

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

• ssui-liu / learnable-embed-sizes-for-RecSys
  A PyTorch implementation of ICLR 2021 paper: Learnable Embedding Sizes for Recommender Systems
  ☆65Updated 4 years ago
• nikolakopoulos / RecWalk
  Implementation of the RecWalk recommendation algorithm
  ☆24Updated 5 years ago
• qinjr / RankFlow
  ☆12Updated 2 years ago
• leonvking0 / Recommendation_Algos
  Algorithms from paper: Evaluation of Session-based Recommendation Algorithms
  ☆16Updated 6 years ago
• fuyuanlyu / OptEmbed
  This repository contains PyTorch Implementation of CIKM 2022 research-track paper: OptEmbed: Learning Optimal Embedding Table for Click-t…
  ☆14Updated last year
• datamllab / AutoRec
  ☆49Updated last year
• nhtsai / graph-rec
  Senior Capstone Project: Graph-Based Product Recommendation
  ☆42Updated 3 years ago
• DongHande / AutoDebias
  This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.
  ☆105Updated 2 years ago
• reczoo / RecBox
  A box of core libraries for recommendation model development
  ☆91Updated 4 months ago
• lizli502 / SSE-PT
  ☆57Updated 9 months ago
• microsoft / debiasing-item2item
  Implementation of "Debiasing Item-to-Item Recommendations With Small Annotated Datasets" (RecSys '20)
  ☆39Updated 4 years ago
• sisinflab / Reenvisioning-the-comparison-between-Neural-Collaborative-Filtering-and-Matrix-Factorization
  ☆21Updated 3 years ago
• WayneDW / DeepLight_Deep-Lightweight-Feature-Interactions
  Accelerating Inference for Recommendation Systems (WSDM'21)
  ☆112Updated 4 years ago
• xiangning-chen / SIF
  Code for our WWW'2020 paper "Efficient Neural Interaction Function Search for Collaborative Filtering"
  ☆25Updated 5 years ago
• TsingZ0 / TLSAN
  This is our implementation for our paper: TLSAN: Time-aware Long- and Short-term Attention Network for Next-item Recommendation
  ☆32Updated 3 years ago
• casperhansen / NeuHash-CF
  Content-aware Neural Hashing for Cold-start Recommendation. SIGIR 2020
  ☆19Updated 4 years ago
• jiaqima / Off-Policy-2-Stage
  Off-policy Learning in Two-stage Recommender Systems. https://dl.acm.org/doi/pdf/10.1145/3366423.3380130
  ☆28Updated 4 years ago
• HarrieO / 2021-SIGIR-plackett-luce
  ☆32Updated 2 years ago
• zyang1580 / SML
  This is an implementation for our SIGIR 2020 paper: How to Retrain Recommender System? A Sequential Meta-Learning Method.
  ☆45Updated last year
• dbountouridis / siren
  SIREN: A Simulation Framework for Understanding the Effects of Recommender Systems in Online News Environments
  ☆29Updated 6 years ago
• familyld / DeepCF
  DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System
  ☆66Updated 2 years ago
• chentingpc / dpq_embedding_compression
  Differentiable Product Quantization for End-to-End Embedding Compression.
  ☆59Updated 2 years ago
• Zziwei / Heater--Cold-Start-Recommendation
  Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation
  ☆41Updated 4 years ago
• weiyinwei / CLCRec
  Contrastive Learning for Cold-start Recommendation
  ☆65Updated 3 years ago
• graytowne / rank_distill
  A PyTorch implementation of Ranking Distillation
  ☆88Updated 4 years ago
• noveens / sampling_cf
  [ WSDM '22 ] On Sampling Collaborative Filtering Datasets
  ☆20Updated 3 years ago
• noveens / distill_cf
  [ NeurIPS '22 ] Data distillation for recommender systems. Shows equivalent performance with 2-3 orders less data.
  ☆23Updated last year
• RUCAIBox / DAGFM
  This is the official PyTorch implementation for the paper: "Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledg…
  ☆13Updated last year
• Wang-Yu-Qing / MIND
  Pytorch implementation of paper: Multi-Interest Network with Dynamic Routing for Recommendation at Tmall
  ☆32Updated last year
• spotify-research / RIPS_KDD2020
  ☆17Updated 4 years ago