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A Generic Network Compression Framework for Sequential Recommender Systems

implementation for the paper "FISM: Factored Item Similarity Models for Top-N Recommender Systems" by Tensorflow 1.2

Code for our SIGIR 2021 paper :'Fairness among New Items in Cold Start Recommender Systems'

Example code for my article "How you can build simple recommender systems with Surprise".

kafka + structured streaming + phoenix + elasticsearch 基于行为日志实现热门推荐，用户偏好推荐，召回融合策略实现。

Fullstack recommender system project with Flask + React + PyTorch + Numpy

该项目使用经典的电影推荐数据集ml-100k并基于PyTorch实现《深度学习推荐系统（王喆著）》的部分经典模型

Silvertorch is a high-performance open-source GPU retrieval engine designed for large-scale recommender systems, generative retrieval (RAG), and vector search — optimized for latency, throughput, and GPU cost efficiency.

Multiplicative LSTM for Recommendations

A hotel recommender system using SageMaker