Alternatives and similar repositories for FCN

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

• reczoo / Datasets
  A curated collection of recommendation datasets with trackable dataset IDs
  ☆58Updated 3 months ago
• salmon1802 / TF4CTR
  TF4CTR: Twin Focus Framework for CTR Prediction via Adaptive Sample Differentiation
  ☆16Updated 3 months ago
• westlake-repl / IDvs.MoRec
  End-to-end Training for Multimodal Recommendation Systems
  ☆149Updated 4 months ago
• yasdel / Gen-RecSys
  ☆80Updated 8 months ago
• YangZhengyi98 / DreamRec
  ☆119Updated last year
• AaronHeee / RecFormer
  Replication of the paper "Text Is All You Need: Learning Language Representations for Sequential Recommendation" on KDD'23.
  ☆115Updated last year
• salmon1802 / CETN
  [TOIS 2024] Contrast-enhanced Through Network for CTR Prediction
  ☆15Updated 9 months ago
• WHUIR / DiffuRec
  ☆68Updated last year
• RUCAIBox / LC-Rec
  [ICDE'24] Code of "Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation."
  ☆117Updated 8 months ago
• HonghuiBao2000 / LETTER
  Learnable Item Tokenization for Generative Recommendation (CIKM'24)
  ☆46Updated 5 months ago
• RUCAIBox / RecBole2.0
  An up-to-date, comprehensive and flexible recommendation library
  ☆207Updated last year
• anonctr / GDCN
  The code of GDCN
  ☆39Updated last year
• tsinghua-fib-lab / CLSR
  The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)
  ☆76Updated 2 years ago
• RUCAIBox / VQ-Rec
  [WWW'23] PyTorch implementation for "Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders".
  ☆74Updated 2 years ago
• liuqidong07 / Awesome-Multimodal-Recommender-Systems
  [CSUR'24] Multimodal Recommender Systems: A Survey
  ☆45Updated last year
• hidasib / GRU4Rec_PyTorch_Official
  Official implementation of the GRU4Rec algorithm in PyTorch
  ☆64Updated last year
• archersama / Uni-CTR
  Source code of TOIS paper "A Unified Framework for Multi-Domain CTR Prediction via Large Language Models"
  ☆28Updated 6 months ago
• EdoardoBotta / RQ-VAE-Recommender
  [Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
  ☆278Updated 2 months ago
• JingsenZhang / Recbole-Debias
  RecBole-Debias is a toolkit built upon RecBole for reproducing and developing debiased recommendation algorithms.
  ☆40Updated 2 years ago
• junwei-pan / RecScope
  ☆22Updated 9 months ago
• LaVieEnRose365 / ReLLa
  Code of Paper "ReLLa: Retrieval-enhanced Large Language Models for Mitigating Long Context Problems in Recommendation".
  ☆50Updated last year
• cl4ctr / cl4ctr
  The code of CL4CTR
  ☆48Updated last year
• zyang1580 / CoLLM
  The implementation for the work "CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation".
  ☆97Updated 7 months ago
• enoche / ImRec
  A Pytorch Recommendation Framework with Implicit Feedback.
  ☆41Updated last year
• guocheng2025 / Sequential-Recommendation-Datasets
  Download and preprocess popular sequential recommendation datasets
  ☆207Updated 2 years ago
• YiyanXu / DiffRec
  Diffusion Recommender Model
  ☆217Updated 11 months ago
• JiachengLi1995 / Recformer
  Codebase for KDD 2023 paper, Text Is All You Need: Learning Language Representations for Sequential Recommendation
  ☆64Updated last year
• yaochenzhu / LLM4Rec
  (WWW'24 + LinkedIn) The first RS that tightly combines LLM with ID-based RS
  ☆146Updated 9 months ago
• Applied-Machine-Learning-Lab / LLMEmb
  [AAAI'25] The official implementation code of LLMEmb
  ☆25Updated 8 months ago
• LiangcaiSu / STEM
  [AAAI 2024] The open source code for "STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation".
  ☆53Updated 10 months ago