An easy-to-use framework for large scale recommendation algorithms.

SASRec: Self-Attentive Sequential Recommendation

This Repository includes recent papers (RecSys, SIGIR, WWW, etc.) related to the Recommender Systems

记录推荐系统相关的面试题、优化经验

A curated model zoo for recommendation tasks

Code release for "Long-Sequence Recommendation Models Need Decoupled Embeddings" (ICLR 2025), https://arxiv.org/abs/2410.02604

LongCTR: A Long Sequence Modeling Benchmark for CTR Prediction

Transformer-based Realtime User Action Model for Recommendation at Pinterest

An unofficial implementation of "TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest" in Tensorflow

Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).

Implements the paper "Wukong: Towards a Scaling Law for Large-Scale Recommendation" from Meta.

An implementation of a deep learning recommendation model (DLRM)

Pytorch domain library for recommendation systems

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

[MM 2024] SimCEN: Simple Contrast-enhanced Network for CTR Prediction

论文XMind笔记生成工具，将论文pdf通过ChatGPT转换为带有图片和公式的简要XMind笔记，提高论文阅读效率。

ICML2025 | From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models

[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"

GRID: Generative Recommendation with Semantic IDs

A PyTorch implementation of ICLR 2021 paper: Learnable Embedding Sizes for Recommender Systems

code of our WWW 2022 paper Asymptotically Unbiased Estimation for Delayed Feedback Modeling via Label Correction

Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX

Implementation and experimental comparison of ES-DFM (Yang et al. 2021), Delayed feedback model(DFM, Chapelle 2014), Feedback Shift Importance Weighting (FSIW) (Yasui et al. 2020), Fake Negative We…

Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ranking (CTR/CVR prediction), Post Ranking, Relevance, LLM, Rei…